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#Hyperparameter Tuning

Showing: 84 courses

Neural Network Programming - Deep Learning with PyTorch

1 rewiews
Learn to build and train neural networks using PyTorch, covering tensor operations, CNN architecture, data preparation, training loops, and performance optimization techniques for deep learning projects.
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39 Lesons
9 hours
On-Demand
Free-Video
Stanford University

Federated Hyperparameter Tuning - Challenges, Baselines, and Connections

0 rewiews
Explores challenges and solutions for hyperparameter tuning in federated learning, introducing FedEx method to accelerate the process. Connects to weight-sharing in neural architecture search and demonstrates improved accuracy on benchmarks.
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25 Lesons
57 minutes
On-Demand
Free-Video

Gradient Boost

0 rewiews
Explore the fundamentals and advanced concepts of Gradient Boost for regression and classification in machine learning.
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4 Lesons
1 hour 30 minutes
On-Demand
Free-Video

Tabular Data

0 rewiews
Learn machine learning techniques for tabular data, including model evaluation, feature engineering, tree-based models, hyperparameter tuning, and neural networks using AWS SageMaker.
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17 Lesons
4 hours 30 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Using Reproducible Experiments to Create Better Machine Learning Models

0 rewiews
Enhance ML model efficiency through reproducible experiments. Learn to track hyperparameter, code, and data changes using DVC for grid and random search tuning methods.
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1 Lesons
30 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Automated Machine Learning Tuning with FLAML

0 rewiews
Explore automated machine learning and tuning using FLAML, a fast Python library. Learn to automate ML tasks, perform general tuning, and conduct zero-shot AutoML efficiently.
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1 Lesons
2 hours 59 minutes
On-Demand
Free-Video

Complete Deep Learning

0 rewiews
Comprehensive deep learning course covering neural networks, CNN, RNN, LSTM, and advanced topics with hands-on tutorials and practical implementations.
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88 Lesons
1 day 6 hours
On-Demand
Free-Video
Data Professor

Python Data Science Project

0 rewiews
Learn Python for data science through hands-on projects covering machine learning, web scraping, exploratory data analysis, and computational drug discovery. Gain practical skills using popular libraries and tools.
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17 Lesons
5 hours
On-Demand
Free-Video
TensorFlow

Tensor2Tensor - TensorFlow at O’Reilly AI Conference, San Francisco '18

0 rewiews
Explore state-of-the-art deep learning models and datasets with Tensor2Tensor, accelerating ML applications like translation, parsing, and image captioning.
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32 Lesons
39 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps: Databricks MLFlow y Optuna para Ajuste de Hiperparámetros - Español

0 rewiews
Optimiza modelos de machine learning con Databricks, MLflow y Optuna. Aprende técnicas de ajuste de hiperparámetros usando XGBoost en un entorno práctico.
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1 Lesons
40 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps MLFlow: Databricks y MLFlow Hyper-Parameter Tuning en Español

0 rewiews
Optimiza modelos de machine learning con Databricks y MLflow, utilizando Hyperopt y XGBoost para ajuste de hiperparámetros.
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1 Lesons
26 minutes
On-Demand
Free-Video
tinyML

Amber - A Complete, ML-Based, Anomaly Detection Pipeline for Microcontrollers

0 rewiews
Discover a complete ML-based anomaly detection pipeline for microcontrollers, featuring real-time sensor value processing, automatic hyperparameter tuning, and high-speed inference capabilities.
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13 Lesons
38 minutes
On-Demand
Free-Video
Richard McElreath

Statistical Rethinking 2023 - Multilevel Models

0 rewiews
Explore multilevel models, partial pooling, and hyperparameter tuning through practical examples like reedfrogs. Learn advanced techniques for statistical analysis and model optimization.
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9 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Krish Naik

SVM Kernels In-Depth Intuition - Polynomial Kernels Part 3 - Machine Learning Data Science

0 rewiews
Explore polynomial kernels in SVM, understanding their intuition, use cases, and hyperparameter tuning for enhanced machine learning model performance.
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5 Lesons
21 minutes
On-Demand
Free-Video
Data Science Dojo

Intro to Machine Learning with R & Caret

0 rewiews
Learn to leverage R's caret package for efficient machine learning tasks, including data sampling, model training, cross-validation, and hyperparameter tuning. Enhance your data science skills with practical examples.
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6 Lesons
1 hour 39 minutes
On-Demand
Free-Video
Krish Naik

Step-by-Step Machine Learning Project Implementation: EDA, Feature Engineering, Selection, and Model Training

0 rewiews
Comprehensive guide to implementing a machine learning project, covering data cleaning, EDA, feature engineering, selection, model training, and hyperparameter tuning.
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6 Lesons
1 hour 26 minutes
On-Demand
Free-Video
Shaw Talebi

Introduction to Decision Trees - Gini Impurity and Python Code

0 rewiews
Learn decision tree fundamentals, including Gini impurity and Python implementation, through a beginner-friendly introduction with concrete examples and code for sepsis survival prediction.
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8 Lesons
20 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Machine Learning Simplified - From Ideation to Deployment in Minutes with Automated ML

0 rewiews
Discover how to train high-quality ML models using Azure Machine Learning's automated ML, requiring only a dataset and minimal configuration parameters.
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1 Lesons
49 minutes
On-Demand
Free-Video
MLCon | Machine Learning Conference

A Cabinet of Deep Learning Curiosities - Unconventional Techniques and Overlooked Methods

0 rewiews
Explore unconventional deep learning techniques, from obscure hacks to overlooked best practices, that have proven surprisingly effective in real-world projects.
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1 Lesons
37 minutes
On-Demand
Free-Video
Databricks

From Python to PySpark and Back Again - Unifying Single-Host and Distributed Deep Learning with Maggy

0 rewiews
Unifying single-host and distributed deep learning with Maggy framework, enabling seamless transition from laptop to cluster for efficient model development and training using TensorFlow and PySpark.
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8 Lesons
28 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Revisiting Knowledge Graph Completion From a Practical Perspective - Danai Koutra

0 rewiews
Explore practical aspects of knowledge graph completion, covering construction, calibration, open-world assumptions, and human-AI collaboration for improved link prediction and triple classification.
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36 Lesons
43 minutes
On-Demand
Free-Video
Discover AI

ChatGPT vs Flan-T5: Comparing Proprietary and Free LLMs with Performance Tuning

0 rewiews
Explore the differences between ChatGPT and Flan-T5 LLM models, comparing their capabilities, accessibility, and performance optimization through practical demonstrations and hyperparameter tuning techniques.
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1 Lesons
12 minutes
On-Demand
Free-Video
The Full Stack

Troubleshooting Deep Neural Networks - Full Stack Deep Learning - Spring 2021

0 rewiews
Learn a systematic approach to troubleshoot deep neural networks, from starting simple to tuning hyperparameters, with practical strategies for implementation, debugging, evaluation, and improvement.
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8 Lesons
1 hour 7 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Managing Thousands of Automatic Machine Learning Experiments with Argo and Katib

0 rewiews
Explore best practices for managing large-scale AutoML experiments using Argo and Katib in cloud-native environments, focusing on hyperparameter tuning and workflow orchestration.
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13 Lesons
27 minutes
On-Demand
Free-Video
kasukanra

Improving Stable Diffusion Images with FreeU - Optimizing SDXL, LCM, and Turbo Models

0 rewiews
Optimize Stable Diffusion images using FreeU hyperparameters. Learn to leverage ComfyUI API for grid searching ideal parameters in SDXL, LCM, and Turbo models. Practical demonstrations and comparisons included.
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38 Lesons
58 minutes
On-Demand
Free-Video
Databricks

Cloud-Based Generative AI Supporting Preliminary Engineering Design

0 rewiews
Optimize engineering design with cloud-based generative AI. Learn how Rolls-Royce and Databricks reduced cGAN training time by 30x using distributed computing, MLflow, and Unity Catalog for aerospace compliance.
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1 Lesons
33 minutes
On-Demand
Free-Video
AutoML Seminars

Open Source Vizier: Distributed Infrastructure for Blackbox Optimization and Hyperparameter Tuning

0 rewiews
Explore Google's Vizier system for blackbox optimization and hyperparameter tuning, covering its distributed infrastructure, Python implementation, and integration with AutoML ecosystem.
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10 Lesons
42 minutes
On-Demand
Free-Video
AutoML Seminars

Gradient Descent: The Ultimate Optimizer - Automating Hyperparameter Optimization

0 rewiews
Discover how to automatically optimize hyperparameters in gradient-based ML algorithms through an elegant modification to backpropagation, making optimizer tuning more efficient and less sensitive to initial choices.
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1 Lesons
30 minutes
On-Demand
Free-Video
Aladdin Persson

Complete TensorBoard Guide

0 rewiews
Comprehensive guide to TensorBoard features including loss plots, image visualization, confusion matrices, hyperparameter tuning, embedding projections, and TensorFlow profiler for model optimization and analysis.
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11 Lesons
1 hour 23 minutes
On-Demand
Free-Video
Nicholas Renotte

Build a Street Fighter AI Model with Python - Gaming Reinforcement Learning Full Course

0 rewiews
Learn to create an AI model for Street Fighter using Python, covering setup, preprocessing, hyperparameter tuning, and model fine-tuning. Gain hands-on experience in gaming reinforcement learning.
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8 Lesons
2 hours 41 minutes
On-Demand
Free-Video
Prodramp

TorchStudio - Deep Learning Toolkit

0 rewiews
Hands-on guide to TorchStudio: Access PyTorch datasets, train models, and compare results. Ideal for beginners and experienced users in the PyTorch ecosystem.
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13 Lesons
29 minutes
On-Demand
Free-Video
Nicholas Renotte

Reinforcement Learning for Gaming - Full Python Course

0 rewiews
Comprehensive guide to applying reinforcement learning in gaming using Python and Stable Baselines 3, covering Mario, Doom, Street Fighter, and Chrome Dino with practical missions and best practices.
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25 Lesons
8 hours 58 minutes
On-Demand
Free-Video
Julia Silge

Subword Features in Machine Learning for Text

0 rewiews
Explore machine learning techniques for text analysis using tidymodels to predict Hawaii post offices from their names, with practical code examples and performance evaluation.
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12 Lesons
28 minutes
On-Demand
Free-Video
Julia Silge

Tuning XGBoost Using Tidymodels

0 rewiews
Optimize XGBoost models for beach volleyball match prediction using tidymodels, exploring data, tuning hyperparameters, and interpreting results.
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19 Lesons
51 minutes
On-Demand
Free-Video
Julia Silge

Tuning Random Forest Hyperparameters with Tidymodels

0 rewiews
Learn to optimize random forest models using tidymodels, exploring hyperparameter tuning techniques with San Francisco tree data for improved predictive performance.
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31 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Julia Silge

Hyperparameter Tuning Using Tidymodels

0 rewiews
Explore hyperparameter tuning for random forest models using global food consumption data, enhancing model performance and gaining insights into international dietary patterns.
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11 Lesons
30 minutes
On-Demand
Free-Video
Data Science Dojo

Building and Deploying a Model Using AutoML in Azure ML - Azure Tutorial for Beginners

0 rewiews
Learn to streamline machine learning model development with Azure AutoML. Explore algorithm selection, hyperparameter tuning, and evaluation metrics for efficient model creation and deployment.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Databricks

Scalable AutoML for Time Series Forecasting Using Ray

0 rewiews
Explore scalable AutoML for time series forecasting using Ray, covering feature generation, model selection, and hyper-parameter tuning. Learn from real-world applications and experiences in various industries.
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9 Lesons
22 minutes
On-Demand
Free-Video
Databricks

Tuning Machine Learning Models - Scaling, Workflows, and Architecture

0 rewiews
Automating and scaling ML model tuning using Hyperopt and Apache Spark. Best practices for workflows, architecture, and optimization in hyperparameter tuning for improved performance and accuracy.
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10 Lesons
24 minutes
On-Demand
Free-Video
Databricks

Productionizing Deep Reinforcement Learning with Spark and MLflow

0 rewiews
Aprenda a aplicar Deep Reinforcement Learning em escala usando Spark e MLflow para personalização de jogos e aumento de engajamento, com dicas práticas para superar desafios de produção.
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17 Lesons
26 minutes
On-Demand
Free-Video
Databricks

Efficient Distributed Hyperparameter Tuning with Apache Spark

0 rewiews
Learn to efficiently distribute hyperparameter tuning workloads using Apache Spark, avoiding common pitfalls and optimizing performance. Explore best practices with Hyperopt and joblib-spark for scaling ML model training.
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10 Lesons
26 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Building AutoML Pipelines with Argo Workflows and Katib

0 rewiews
Explore AutoML pipelines using Argo Workflows and Katib for efficient model selection and hyperparameter tuning in Kubernetes environments, enhancing MLOps processes.
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1 Lesons
22 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Machine Learning with Kubernetes

0 rewiews
Explore MLOps with Kubernetes: Learn to build scalable ML pipelines using Kubeflow, optimize cluster design, and leverage Istio for enhanced observability and security in production environments.
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1 Lesons
25 minutes
On-Demand
Free-Video
Linux Foundation

Hyperparameter Tuning Using Kubeflow

0 rewiews
Explore automated machine learning with Katib, a Kubernetes-native platform for hyperparameter tuning and neural architecture search, enhancing model performance efficiently.
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21 Lesons
35 minutes
On-Demand
Free-Video
Linux Foundation

Angel 3.0 - A Full Stack Machine Learning Platform

0 rewiews
Explore Angel 3.0, a comprehensive machine learning platform featuring auto feature engineering, hyperparameter tuning, model serving, and PyTorch integration for enhanced graph embedding and GNN algorithms.
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12 Lesons
41 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

AutoML and Training Working Group Updates - Kubeflow Developments

0 rewiews
Explore AutoML and Training Working Group updates for Kubeflow, including Katib's V1 API graduation, advanced parameter distribution, and LLM tuning, plus Training Operator's roadmap for enhanced ML framework support.
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1 Lesons
36 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps: Databricks MLFlow and Optuna Hyper-parameter Tuning

0 rewiews
Optimize XGBoost models using Databricks, MLflow, and Optuna for efficient hyperparameter tuning and improved machine learning workflows.
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1 Lesons
37 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps: Databricks and MLFlow Hyper-parameter Tuning for XGBoost Models

0 rewiews
Optimize machine learning models using Databricks and MLflow for hyperparameter tuning with XGBoost and HyperOpt.
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1 Lesons
56 minutes
On-Demand
Free-Video
PASS Data Community Summit

Overview of Automated ML June 2019

0 rewiews
Explore automated machine learning for accelerating AI development, with demos on Azure ML Service and Databricks, focusing on Python implementation and recent Azure technologies.
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31 Lesons
50 minutes
On-Demand
Free-Video
Devoxx

Tensorflow, Deep Learning and Modern Convolutional Neural Nets, Without a PhD

0 rewiews
Explore modern convolutional neural networks and deep learning with TensorFlow. Learn practical tips, engineering best practices, and recent advances in image recognition without needing a PhD.
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18 Lesons
57 minutes
On-Demand
Free-Video
GOTO Conferences

A Taste of Random Decision Forests on Apache Spark

0 rewiews
Explore Random Decision Forests on Apache Spark with Sean Owen. Learn about decision trees, feature vectors, model interpretation, and hyperparameter tuning for machine learning in distributed environments.
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15 Lesons
53 minutes
On-Demand
Free-Video
USENIX

Hydro - Surrogate-Based Hyperparameter Tuning Service in Datacenters

0 rewiews
Innovative hyperparameter tuning service for deep learning models, optimizing efficiency and resource utilization in datacenters through surrogate models and adaptive resource management.
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1 Lesons
16 minutes
On-Demand
Free-Video
EuroPython Conference

Probabilistic Forecasting with DeepAR and AWS SageMaker

0 rewiews
Explore probabilistic forecasting with DeepAR, combining deep learning and time series analysis for accurate predictions with uncertainty estimates across multiple related datasets.
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15 Lesons
31 minutes
On-Demand
Free-Video
EuroPython Conference

Automated Machine Learning With Keras

0 rewiews
Explore automated machine learning with Keras Tuner and AutoKeras, enabling efficient development of high-performance deep learning models while requiring less expertise and effort.
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12 Lesons
31 minutes
On-Demand
Free-Video
MLCon | Machine Learning Conference

How to Track Progress and Collaborate in Data Science and Machine Learning Projects

0 rewiews
Practical guidelines for organizing, tracking, and collaborating on data science projects, covering code management, metrics tracking, and effective communication between teams.
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1 Lesons
31 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

From Notebook to Kubeflow Pipelines with HP Tuning - A Data Science Journey

0 rewiews
Explore Kubeflow for effortless ML pipeline creation, scaling, and hyperparameter tuning. Convert Jupyter notebooks to deployable workflows and leverage Kubeflow components for efficient data science journeys.
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15 Lesons
40 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

A Day in the Life of a Data Scientist - Conquer ML Lifecycle on Kubernetes

0 rewiews
Explore a data scientist's daily workflow, from data prep to model deployment, using Kubeflow and Kubernetes for efficient machine learning lifecycle management.
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15 Lesons
37 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Life is Not Fair, but Your ML Pipeline Can Be

0 rewiews
Explore techniques to evaluate and enhance fairness in multi-cloud Kubeflow workflows, covering responsible AI, fairness aspects, and open-source tools for fair model learning and hyperparameter tuning.
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1 Lesons
28 minutes
On-Demand
Free-Video
Scala Days Conferences

Machine Learning with Scala on Spark

0 rewiews
Explore machine learning with Spark and Scala, comparing frameworks, discussing advantages, and addressing challenges in data science. Gain insights into Spark.ml's capabilities and potential for predictive modeling.
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46 Lesons
39 minutes
On-Demand
Free-Video
Data Science Festival

An Introduction to Forecasting Using Orbit

0 rewiews
Explore Orbit, a probabilistic forecasting tool developed by Uber, and learn its application in demand forecasting for technical support teams through a practical case study.
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1 Lesons
21 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Interpretability Tools as Feedback Loops in Machine Learning Training

0 rewiews
Explore machine learning interpretability techniques to optimize training sequences and develop more effective models without increasing compute or training time.
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1 Lesons
18 minutes
On-Demand
Free-Video
Serrano.Academy

Machine Learning - Testing and Error Metrics

0 rewiews
Explore machine learning model evaluation, including metrics, error types, cross-validation, and optimization techniques for improved performance and decision-making.
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30 Lesons
45 minutes
On-Demand
Free-Video
Devoxx

Vertex AI - Pipelines for Your MLOps Workflows

0 rewiews
Explore Vertex AI Pipelines for MLOps workflows, covering experiment pipelining, infrastructure management, and practical examples of machine learning development and deployment cycles.
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1 Lesons
45 minutes
On-Demand
Free-Video
Devoxx

Vertex AI - Pipelines for Your MLOps Workflows

0 rewiews
Explore Vertex AI Pipelines for streamlined MLOps workflows, covering experiment pipelining, infrastructure management, and practical examples for efficient machine learning development and deployment.
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9 Lesons
31 minutes
On-Demand
Free-Video
Devoxx

Machine Learning Using Kubeflow and Kubernetes

0 rewiews
Explore machine learning workflows on Kubernetes using Kubeflow, covering deployment, training, inference, and advanced features like hyperparameter tuning and automated pipelines.
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20 Lesons
51 minutes
On-Demand
Free-Video
NDC Conferences

Taking Models to the Next Level with Azure Machine Learning

0 rewiews
Explore Azure Machine Learning for custom model training, from pre-built cognitive services to AutoML and hyperparameter tuning, with practical examples for text analysis and sentiment analysis.
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23 Lesons
57 minutes
On-Demand
Free-Video
AutoML Seminars

Hyperparameter Tuning on the Cloud - Optimizing Machine Learning Models with SEER and Rubberband

0 rewiews
Master hyperparameter tuning optimization in cloud environments through SEER algorithm and Rubberband system, focusing on maximizing model accuracy while minimizing costs and time constraints.
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12 Lesons
44 minutes
On-Demand
Free-Video
AutoML Seminars

Large Language Models to Enhance Bayesian Optimization

0 rewiews
Discover how Large Language Models enhance Bayesian optimization through LLAMBO, improving hyperparameter tuning and black-box function optimization with natural language integration.
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1 Lesons
31 minutes
On-Demand
Free-Video
GERAD Research Center

Stochastic Tabu Search and Improvements - Application for Physician Scheduling

0 rewiews
Explore stochastic tabu search for physician scheduling, including hyperparameter tuning and learning algorithms to enhance efficiency in radiotherapy centers.
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1 Lesons
55 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Scaling Deep Learning Model Training

0 rewiews
Learn techniques for scaling deep learning model training across distributed systems, reducing training time from days to hours while maintaining cost efficiency.
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1 Lesons
32 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Hyperparameter Tuning with a Focus on Weights and Biases Sweeps

0 rewiews
Explore hyperparameter tuning strategies and visualizations for deep learning models, focusing on Weights & Biases Sweeps. Accelerate progress in semantic segmentation and language understanding projects.
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1 Lesons
47 minutes
On-Demand
Free-Video
NashKnolX

Building and Deploying Machine Learning Models with Amazon SageMaker

0 rewiews
Learn to build, train, and deploy ML models using Amazon SageMaker, covering data preprocessing, model selection, hyperparameter tuning, and evaluation.
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1 Lesons
43 minutes
On-Demand
Free-Video
Trelis Research

Fine-tuning LLMs - Every Step Explained for Memorization Tasks

0 rewiews
Explore LLM fine-tuning techniques, from dataset generation to hyperparameter optimization. Learn to overcome challenges like the reversal curse and optimize model performance for specific tasks.
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14 Lesons
47 minutes
On-Demand
Free-Video
Trelis Research

Full Fine-Tuning vs LoRA and QLoRA - Comparison and Best Practices

0 rewiews
Explore full fine-tuning vs (Q)LoRA techniques, comparing VRAM usage, training time, and quality. Learn parameter selection, tips for QLoRA, and step-by-step guidance for TinyLlama and Mistral 7B fine-tuning.
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14 Lesons
53 minutes
On-Demand
Free-Video
Anyscale

SkyML: Infra-less Machine Learning on Any Cloud

0 rewiews
Explore SkyML for simplified, high-performance machine learning across clouds. Leverage best-of-breed accelerators, spot instances, and automatic resource management for cost-effective ML applications.
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1 Lesons
32 minutes
On-Demand
Free-Video
nanohubtechtalks

Machine Learning for Predicting Additive Manufacturing Part Quality - Tutorial on Support Vector Regression

0 rewiews
Learn to predict additive manufacturing part quality using support vector regression. Explore data analysis, hyperparameter tuning, and cross-validation techniques for machine learning in 3D printing applications.
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18 Lesons
55 minutes
On-Demand
Free-Video
Trelis Research

LoRA Fine-tuning Explained - Choosing Parameters and Optimizations

0 rewiews
Explore LoRA fine-tuning techniques, from parameter selection to optimization strategies, enhancing your ability to customize language models effectively.
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7 Lesons
1 hour 4 minutes
On-Demand
Free-Video
VinAI

Knowing the What But Not the Where in Bayesian Optimization

0 rewiews
Explore Bayesian optimization techniques for finding optimal inputs when outputs are known. Enhance efficiency in hyperparameter tuning for deep reinforcement and supervised learning.
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1 Lesons
1 hour 8 minutes
On-Demand
Free-Video
MIT HAN Lab

Neural Architecture Search - Part I

0 rewiews
Explore neural architecture search techniques, focusing on automated design of efficient deep learning models for various applications.
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1 Lesons
1 hour 14 minutes
On-Demand
Free-Video
MIT HAN Lab

Neural Architecture Search - Part I (EfficientML.ai) - Lecture 7

0 rewiews
Explore neural architecture search techniques for optimizing deep learning models, covering fundamentals, methods, and applications in AI efficiency.
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1 Lesons
1 hour 14 minutes
On-Demand
Free-Video
MIT HAN Lab

Neural Architecture Search Part I - Lecture 7

0 rewiews
Explore neural architecture search techniques for optimizing deep learning models, covering fundamental concepts and cutting-edge approaches in AI efficiency.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
MIT HAN Lab

Neural Architecture Search Part I - Lecture 7

0 rewiews
Explore neural architecture search techniques for optimizing deep learning models, focusing on automated design and efficiency in AI systems.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
MIT HAN Lab

Neural Architecture Search Part II - Lecture 8

0 rewiews
Explore advanced neural architecture search techniques, including evolutionary algorithms and reinforcement learning, to optimize deep learning models for efficiency and performance.
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1 Lesons
1 hour 16 minutes
On-Demand
Free-Video
ChemicalQDevice

How to Create, Optimize, and Implement Quantum ML Algorithms

0 rewiews
Explore quantum ML algorithm creation, optimization, and implementation. Master Qiskit circuits, pulse schedules, and transpiler passes. Learn hyperparameter tuning and platform integration techniques.
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1 Lesons
1 hour 13 minutes
On-Demand
Free-Video