Intro and Building a Machine Learning Framework
Learn to build a reusable machine learning framework for tabular datasets, covering setup, training, and inference in a two-part video series.
End to End Deep Learning Project Using MLOPS DVC Pipeline With Deployments Azure and AWS - Krish Naik
Comprehensive guide to building and deploying a deep learning project for chicken disease classification using MLOps tools, DVC pipeline, and cloud platforms Azure and AWS.
End to End NLP Project Implementation With Deployment Github Action - Text Summarization - Krish Naik
Comprehensive guide to implementing an end-to-end NLP text summarization project, covering data processing, model training, evaluation, and deployment using GitHub Actions on AWS.
Anti Spoofing - Liveliness Detector for Face Recognition System - Fake VS Real - Computer Vision
Learn to build a free anti-spoofing system for face recognition, covering data collection, preprocessing, model training, and implementation using computer vision techniques.
Medical Polyp Image Segmentation with U-Net and TensorFlow Keras
Step-by-step guide to implement U-Net for medical polyp image segmentation using TensorFlow/Keras, covering data preprocessing, model architecture, training, and evaluation.
Build a Transformer for Language Classification in TensorFlow
Build a transformer-based sentiment classifier using HuggingFace's library in TensorFlow. Learn to download data, tokenize inputs, prepare datasets, define the model architecture, and train for multi-class sentiment analysis.
Group Normalization - Paper Explained
Explore Group Normalization as an alternative to Batch Normalization, addressing batch size limitations and improving performance in various deep learning tasks.
OpenAI Tackles Math - Formal Mathematics Statement Curriculum Learning
Explores OpenAI's innovative approach to formal mathematics using expert iteration, demonstrating improved performance in automated proof search and solving challenging olympiad-level problems.
GPT-NeoX-20B - Open-Source Huge Language Model by EleutherAI - Interview With Co-Founder Connor Leahy
Interview exploring EleutherAI's GPT-NeoX-20B, a 20B parameter open-source language model. Discusses training process, hardware acquisition, model capabilities, and how to try it out.
Getting Machine Learning Models into Use
Practical guide to deploying bioinformatics machine learning models, focusing on scalability, user-friendliness, data security, and maintainability for real-world impact.
Alternatives to Reinforcement Learning for Real-World Problems
Explore alternatives to Reinforcement Learning for real-world problems, focusing on Contextual Bandits and Imitation Learning. Learn their applications, limitations, and how they differ from full RL.
Deep Learning for Search and Recommender Systems in Practice - Part 2
Explore advanced techniques in deep learning for search and recommender systems, focusing on practical implementation and real-world applications at LinkedIn.
How to Deploy ML Models in Production with BentoML
Learn to deploy Machine Learning models in production using BentoML, covering installation, model saving, service creation, bento building, and Docker containerization. Includes hands-on examples and practical deployment steps.
Implementing and Training a Neural Network with PyTorch
Build and train a feed-forward neural network using PyTorch to classify MNIST digits. Learn data management, network implementation, and training loop creation in this hands-on tutorial.
An Improved and Functional Design of End-to-End Machine Learning Life Cycle
Comprehensive overview of the machine learning lifecycle, covering data preparation, model training, deployment, and inference, with practical insights for effective implementation and monitoring.
An AI Engineer's Guide to Machine Learning with Keras
Comprehensive guide to building and evaluating machine learning models using Keras, covering data preparation, model creation, training, and performance analysis with practical examples.
Fine-Tuning Alpaca- Train Alpaca LoRa for Sentiment Analysis on a Custom Dataset
Learn to fine-tune Llama 7B with Alpaca LoRa on a custom bitcoin sentiment dataset. Covers data preprocessing, model training, and performance analysis for sentiment detection in cryptocurrency tweets.
Put Yourself Into a Universe of Art - Using Your Images in Dreambooth Stable Diffusion
Learn to create personalized AI art using Dreambooth and Stable Diffusion. This tutorial covers image processing, model training, and generating custom artwork with your own images, all for free using Google Colab.
How Can Neural Networks Identify Fake Face Images?
Explore neural networks' ability to detect fake face images using Grad-CAM algorithm. Learn about datasets, model training, and visualization techniques for understanding AI decision-making in image classification.
How to Make AI Art - DreamBooth and Stable Diffusion Tutorial with Prompting Tips and Demo
Learn to create AI art using DreamBooth and Stable Diffusion. Master prompt engineering, fine-tuning models, and generating custom images with step-by-step guidance and practical tips.
Building Enterprise-Grade Q&A Chatbots with Azure OpenAI's Advanced Capabilities
Explore Azure OpenAI's advanced capabilities for building enterprise-grade Q&A chatbots. Learn fine-tuning techniques to enhance natural language processing and improve customer support at scale.