Главная
Study mode:
on
You
History
Saved
In progress 0 courses
compleat 0 courses
#Art & Design #Adobe #ChatGPT #GitHub

#Autoencoders

Showing: 69 courses
NPTEL

Deep Learning for Visual Computing

1 rewiews
Comprehensive exploration of deep learning techniques for visual computing, covering neural networks, autoencoders, and CNNs with hands-on implementations using Python and popular datasets.
Add to list
26 Lesons
11 hours
On-Demand
Free-Video
Alexander Amini

Deep Generative Modeling

1 rewiews
Explore deep generative modeling, including autoencoders, variational autoencoders, and GANs. Learn about latent variable models, reparameterization tricks, and recent advances in generative AI techniques.
Add to list
15 Lesons
1 hour 2 minutes
On-Demand
Free-Video
NPTEL

Deep Learning

0 rewiews
Comprehensive exploration of deep learning concepts, from feature descriptors to advanced neural networks, covering theory and practical applications in computer vision and generative models.
Add to list
61 Lesons
1 day 7 hours
On-Demand
Free-Video
Santa Fe Institute

Irreversibility of Biological Active Matter

0 rewiews
Explore the fascinating world of biological active matter, focusing on irreversibility in living systems and its implications for understanding complex dynamics and nonreciprocal behaviors.
Add to list
20 Lesons
59 minutes
On-Demand
Free-Video
University of Central Florida

Autoencoder Architecture and Applications - Lecture 10

0 rewiews
Explore autoencoders: architecture, comparison, applications in image retrieval, denoising, and anomaly detection. Gain insights into this powerful neural network technique.
Add to list
10 Lesons
23 minutes
On-Demand
Free-Video
University of Central Florida

Keras Tutorial - Neural Network Architectures and Advanced Concepts - Part 2

0 rewiews
Learn advanced deep learning concepts including neural networks, VGG, residual connections, autoencoders, and GANs. Explore batch processing, reproducibility, and practical implementation in Keras.
Add to list
20 Lesons
2 hours 16 minutes
On-Demand
Free-Video
Broad Institute

Integrating Patient Level Multi-omics Data Using Deep Learning Models

0 rewiews
Explore deep learning models for integrating patient-level multi-omics data, focusing on supervised and unsupervised approaches for predicting outcomes and uncovering latent representations in genomics.
Add to list
12 Lesons
50 minutes
On-Demand
Free-Video
Serrano.Academy

Unsupervised Learning

0 rewiews
Explore key unsupervised learning techniques including clustering, dimensionality reduction, and generative models. Gain insights into real-world applications like recommendation systems and image compression.
Add to list
10 Lesons
4 hours 30 minutes
On-Demand
Free-Video
Python Engineer

Autoencoder in PyTorch - Theory & Implementation

0 rewiews
Learn to implement Autoencoders in PyTorch, covering theory, data loading, simple and CNN architectures, training loops, and image plotting. Gain practical deep learning skills through hands-on coding.
Add to list
7 Lesons
30 minutes
On-Demand
Free-Video
DigitalSreeni

Application of Autoencoders - Image Colorization

0 rewiews
Learn to artificially colorize black and white images using autoencoders in Python. Explore the process, implementation, and practical application of this advanced image processing technique.
Add to list
9 Lesons
21 minutes
On-Demand
Free-Video
DigitalSreeni

An Introduction to Autoencoders - In Python

0 rewiews
Learn to build and implement autoencoders in Python for image compression, reconstruction, and various applications like denoising and anomaly detection.
Add to list
7 Lesons
21 minutes
On-Demand
Free-Video
Alexander Amini

Deep Generative Modeling

0 rewiews
Explore deep generative modeling, including autoencoders, variational autoencoders, and GANs. Learn about latent variable models, reparameterization tricks, and recent advances in generative AI.
Add to list
12 Lesons
41 minutes
On-Demand
Free-Video
Alexander Amini

Deep Generative Modeling

0 rewiews
Explore deep generative modeling, including autoencoders, VAEs, and GANs. Learn about latent variables, representation learning, and applications in image generation and domain transformation.
Add to list
23 Lesons
44 minutes
On-Demand
Free-Video
Institute for Advanced Study

Energy-Based Approaches to Representation Learning - Yann LeCun

0 rewiews
Explore energy-based approaches to representation learning with Yann LeCun, covering self-supervised learning, video prediction, and sparse modeling in high-dimensional spaces.
Add to list
19 Lesons
40 minutes
On-Demand
Free-Video
Alan Turing Institute

MOSIP Research Platform - Integrating Anomaly Detection Prototypes into Centralized ID Systems

0 rewiews
Explore novel anomaly detection methods for digital identity systems using autoencoders, with a focus on fraud prevention during registration in MOSIP architecture.
Add to list
18 Lesons
47 minutes
On-Demand
Free-Video
Alan Turing Institute

From Causal Inference to Autoencoders, Memorization & Gene Regulation - Caroline Uhler, MIT

0 rewiews
Exploring causal inference, autoencoders, and gene regulation through genomics and 3D genome organization. Integrates data modalities, analyzes overparameterized autoencoders, and links memorization to real-valued data retrieval.
Add to list
16 Lesons
42 minutes
On-Demand
Free-Video
Simons Institute

Causality and Autoencoders in Light of Drug Repurposing for COVID-19

0 rewiews
Explore causal inference and autoencoders in drug repurposing for COVID-19, covering observational data, causality hierarchy, and predicting interventions with Caroline Uhler from MIT.
Add to list
11 Lesons
57 minutes
On-Demand
Free-Video
Society for Industrial and Applied Mathematics

Mathematics of Genome Packing and Regulation

0 rewiews
Explore the mathematics of genome organization and its impact on gene expression through geometric packing models and deep learning, with insights on 3D genome reconstruction and autoencoder applications in genomics.
Add to list
1 Lesons
56 minutes
On-Demand
Free-Video
Valence Labs

Identifying Representations for Intervention Extrapolation

0 rewiews
Explore identifiable representations for intervention extrapolation, improving generalizability in machine learning. Learn theoretical foundations and practical applications through simulations and Q&A.
Add to list
6 Lesons
33 minutes
On-Demand
Free-Video
Alan Turing Institute

Modelling and Controlling Turbulent Flows Through Deep Learning

0 rewiews
Explore deep learning applications in fluid mechanics, including flow prediction and control using CNNs, autoencoders, and GANs. Learn about non-intrusive sensing and transfer learning in turbulent flows.
Add to list
1 Lesons
52 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

VQ-VAEs - Neural Discrete Representation Learning - Paper + PyTorch Code Explained

0 rewiews
Explore VQ-VAEs for neural discrete representation learning, covering key concepts, implementation details, and applications in generative modeling. Gain insights into this important AI technique.
Add to list
11 Lesons
35 minutes
On-Demand
Free-Video
LiquidBrain Bioinformatics

Deep Learning in Bioinformatics - Recent Advancement

0 rewiews
Explore recent advancements in deep learning for bioinformatics, covering BTINET, autoencoders, and deep belief networks. Gain insights into cutting-edge applications in genomics, drug discovery, and disease prediction.
Add to list
5 Lesons
20 minutes
On-Demand
Free-Video
Steve Brunton

Deep Learning to Discover Coordinates for Dynamics - Autoencoders & Physics Informed Machine Learning

0 rewiews
Explore deep learning techniques for discovering effective coordinate systems in dynamical systems, enabling simpler models and physical law discovery. Focus on autoencoders and physics-informed machine learning.
Add to list
15 Lesons
27 minutes
On-Demand
Free-Video
Steve Brunton

Machine Learning for Fluid Dynamics - Patterns

0 rewiews
Explore machine learning applications in fluid dynamics, focusing on pattern extraction and coherent structure identification in high-dimensional systems.
Add to list
6 Lesons
21 minutes
On-Demand
Free-Video
Steve Brunton

Machine Learning for Fluid Mechanics

0 rewiews
Overview of machine learning applications in fluid mechanics, exploring historical context, pattern recognition, reduced-order modeling, and flow control, with insights on AI's impact on this data-rich field.
Add to list
16 Lesons
30 minutes
On-Demand
Free-Video
Graham Neubig

CMU Advanced NLP: Pre-training Methods

0 rewiews
Explore advanced NLP concepts including multi-task learning, sentence embeddings, BERT variants, and language modeling objectives. Gain insights into cutting-edge techniques for natural language processing.
Add to list
25 Lesons
1 hour 22 minutes
On-Demand
Free-Video
Prodramp

All Things VQGAN - AutoEncoder with Latent Space and Reconstruction Error - Part 1

0 rewiews
Explore AutoEncoders, latent space, and reconstruction error in VQGAN. Learn key concepts and their applications in AI, with practical examples and in-depth explanations.
Add to list
11 Lesons
21 minutes
On-Demand
Free-Video
Runway

BigGAN and Other Generative Models

0 rewiews
Explore BigGAN and BigBiGAN generative models, their functionality in RunwayML, and learn about image reconstruction techniques in this informative video on advanced AI-powered image generation.
Add to list
9 Lesons
15 minutes
On-Demand
Free-Video
Data Science Dojo

Approaches to Fraud Detection - Autoencoder and Isolation Forest - Fraud Detection Using ML

0 rewiews
Learn fraud detection techniques using KNIME, including random forest, autoencoder, and isolation forest. Explore methods for both labeled and unlabeled data, with practical demonstrations and insights on implementation.
Add to list
21 Lesons
53 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Anomaly Detection with Autoencoder

0 rewiews
Learn to detect anomalies using autoencoders in high energy physics data analysis. Explore advanced machine learning techniques for uncovering rare events and potential new physics.
Add to list
1 Lesons
1 hour 30 minutes
On-Demand
Free-Video
Yannic Kilcher

Backpropagation and the Brain

0 rewiews
Explore a biologically plausible variant of backpropagation and its potential role in brain learning, discussing feedback connections and error signal approximation in cortical networks.
Add to list
11 Lesons
32 minutes
On-Demand
Free-Video
Alfredo Canziani

From LV-EBM to Target Prop to Autoencoder

0 rewiews
Explore various autoencoder types, from target propagation to variational autoencoders, understanding their mechanisms, applications, and differences in deep learning and neural network architectures.
Add to list
19 Lesons
1 hour 1 minute
On-Demand
Free-Video
Alfredo Canziani

Unsupervised Learning - Autoencoding the Targets

0 rewiews
Explore unsupervised learning and generative models, covering topics like latent space interpolation, style transfer, super resolution, and autoencoders. Gain insights into advanced machine learning concepts and techniques.
Add to list
20 Lesons
57 minutes
On-Demand
Free-Video
Pascal Poupart

Autoencoders

0 rewiews
Explore autoencoders, from basic concepts to advanced applications, covering compression, PCA, deep architectures, sparse representations, and denoising techniques.
Add to list
8 Lesons
39 minutes
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

How to Implement Autoencoders in Python and Keras - The Decoder

0 rewiews
Learn to implement the decoder component of autoencoders using Python, TensorFlow, and Keras. Covers building methods, layers, and architecture for generating sound with neural networks.
Add to list
12 Lesons
36 minutes
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

How to Implement Autoencoders in Python and Keras - The Encoder

0 rewiews
Learn to implement autoencoders in Python and Keras, focusing on building the encoder component. Covers autoencoder class construction, convolutional layers, bottleneck creation, and practical implementation.
Add to list
10 Lesons
44 minutes
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

Autoencoders Explained Easily

0 rewiews
Intuitive explanation of autoencoders, covering key concepts like representation learning and latent space, with applications in data generation, denoising, and anomaly detection.
Add to list
15 Lesons
28 minutes
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

From Autoencoders to Variational Autoencoders - Improving the Encoder

0 rewiews
Explore the transformation from autoencoders to variational autoencoders, focusing on improved encoding using multivariate normal distributions for enhanced generative capabilities in AI and sound processing.
Add to list
8 Lesons
26 minutes
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

Generation with AutoEncoders - Results and Limitations

0 rewiews
Explore image generation using autoencoders, analyze latent space representations, and understand limitations in generative tasks. Learn why variational autoencoders are necessary for improved generation.
Add to list
9 Lesons
23 minutes
On-Demand
Free-Video
Open Data Science

Unsupervised Feature Learning with Matrix Decomposition - Aedin Culhane, PhD | ODSC East 2018

0 rewiews
Explore unsupervised learning techniques for high-dimensional data analysis, focusing on matrix factorization methods and their applications in oncology and precision medicine.
Add to list
17 Lesons
53 minutes
On-Demand
Free-Video
Alexander Amini

Deep Generative Modeling

0 rewiews
Explore deep generative modeling, including autoencoders, VAEs, GANs, and diffusion models. Learn about latent variables, training techniques, and recent advances in generative AI.
Add to list
17 Lesons
1 hour
On-Demand
Free-Video
Jeff Heaton

Deep Neural Network Autoencoders in TensorFlow and Keras - Part 1

0 rewiews
Learn to create and implement autoencoders in Keras and TensorFlow, including denoising autoencoders, for deep neural network applications in image processing and function approximation.
Add to list
6 Lesons
22 minutes
On-Demand
Free-Video
Paul Hand

Variational Autoencoders

0 rewiews
Explore generative models, autoencoders, and variational techniques in deep learning. Learn about architecture, optimization, and practical applications of variational autoencoders.
Add to list
16 Lesons
43 minutes
On-Demand
Free-Video
MITCBMM

As Simple as Possible, but Not Simpler - Features of the Neural Code for Visual Recognition

0 rewiews
Explore visual recognition in the brain through neural coding, feature visualization, and experiments comparing monkey behavior with convolutional neural networks.
Add to list
21 Lesons
23 minutes
On-Demand
Free-Video
Alexander Amini

Deep Generative Modeling - MIT 6.S191 Lecture 4

0 rewiews
Explore deep generative modeling, including autoencoders, VAEs, GANs, and recent advances. Learn about latent variables, training techniques, and applications in AI-driven content creation and data analysis.
Add to list
15 Lesons
56 minutes
On-Demand
Free-Video

NYU Deep Learning

0 rewiews
Comprehensive deep learning course covering neural networks, convolutional and recurrent architectures, energy-based models, self-supervised learning, and advanced topics like transformers and graph networks.
Add to list
31 Lesons
1 day 21 hours
On-Demand
Free-Video
BSidesLV

Deep Adversarial Architectures for Detecting and Generating Maliciousness

0 rewiews
Explore deep learning's role in cybersecurity, focusing on adversarial architectures for malware detection and generation. Learn about vulnerabilities, red team modeling, and defensive strategies.
Add to list
30 Lesons
39 minutes
On-Demand
Free-Video
code::dive conference

Accelerate Functional Coverage Closure Using Co-simulation and Machine Learning

0 rewiews
Explore co-simulation and machine learning techniques to enhance functional coverage closure in complex designs, showcasing a novel autoencoder-based test selection system for efficient verification.
Add to list
1 Lesons
36 minutes
On-Demand
Free-Video
WeAreDevelopers

Deep Learning for Recommender Systems

0 rewiews
Explore state-of-the-art deep learning techniques for recommender systems, including collaborative filtering, content-based methods, and complex architectures like autoencoders and RNNs for personalized recommendations.
Add to list
10 Lesons
30 minutes
On-Demand
Free-Video
EuroPython Conference

Python and Flutter Application for Colouring and Enhancing Old Photos

0 rewiews
Learn to colorize and enhance old photos using Python and Flutter, exploring deep learning models, API development, and mobile app creation for efficient image processing.
Add to list
25 Lesons
28 minutes
On-Demand
Free-Video
MLCon | Machine Learning Conference

Unsupervised Learning with Autoencoders

0 rewiews
Explore autoencoder variants, their applications in unsupervised learning, and real-world use cases. Learn about anomaly detection, denoising, and generative models in this comprehensive overview.
Add to list
19 Lesons
49 minutes
On-Demand
Free-Video
MLCon | Machine Learning Conference

Deep Learning - The Final Frontier for Time Series Analysis

0 rewiews
Explore deep learning's potential in time series analysis, covering classification, prediction, and anomaly detection. Learn how neural networks can revolutionize processing of sequential data across various domains.
Add to list
25 Lesons
48 minutes
On-Demand
Free-Video
DigitalSreeni

Pre-Training U-Net Using Autoencoders - Autoencoders and Visualizing Features

0 rewiews
Explore autoencoders, image reconstruction, and feature visualization in deep learning models through hands-on coding examples and practical demonstrations.
Add to list
8 Lesons
28 minutes
On-Demand
Free-Video
Black Hat

Demystifying AI and Machine Learning to Enhance SOC Detection

0 rewiews
Demystifies AI and machine learning for SOC teams, focusing on practical applications like data leak prevention. Includes live demo and insights from Credit Agricole's SOC experience.
Add to list
21 Lesons
29 minutes
On-Demand
Free-Video
Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)

Compressed Representations in Deep Learning: From Algorithmic Information to Autoencoders and Neural Networks

0 rewiews
Dive into compressed representations and algorithmic information theory, exploring deep learning concepts and autoencoder applications in modern neural networks.
Add to list
1 Lesons
27 minutes
On-Demand
Free-Video
Serrano.Academy

Denoising and Variational Autoencoders

0 rewiews
Explore autoencoders, powerful generative models for dimensionality reduction and data generation. Learn about denoising and variational autoencoders, their applications, and training techniques.
Add to list
24 Lesons
32 minutes
On-Demand
Free-Video
Alexander Amini

Deep Generative Modeling

0 rewiews
Explore deep generative modeling, including autoencoders, VAEs, and GANs. Learn about latent variables, representation learning, and applications in debiasing and image synthesis.
Add to list
22 Lesons
55 minutes
On-Demand
Free-Video
tinyML

Memory Optimization Techniques for On-Device Large Language Models

0 rewiews
Discover advanced memory optimization techniques for deploying large language models on devices with limited resources, focusing on key-value caching and dynamic compression methods.
Add to list
1 Lesons
31 minutes
On-Demand
Free-Video
Oxen

Understanding Diffusion Transformers and the Technology Behind Sora

0 rewiews
Dive into the technical foundations behind OpenAI's Sora, exploring diffusion transformers, U-Nets, and latent diffusion models that power this groundbreaking video generation technology.
Add to list
11 Lesons
39 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Graphical Models for Financial Time Series and Portfolio Optimization

0 rewiews
Explore graphical models for optimal portfolio construction, examining PCA-KMeans, autoencoders, and structural learning to capture time-varying patterns in financial data.
Add to list
1 Lesons
41 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Speech Production Features for Deep Neural Network Acoustic Modeling - 2015

0 rewiews
Explore speech production knowledge for improved DNN acoustic modeling in ASR. Learn about vocal tract measurements and phonological embeddings to enhance recognition accuracy.
Add to list
12 Lesons
55 minutes
On-Demand
Free-Video
Dave Churchill

Introduction to Artificial Intelligence: Deep Neural Networks - Lecture 19

0 rewiews
Explore deep neural networks, edge detection, and reinforcement learning in AI, with applications to games and image processing.
Add to list
12 Lesons
37 minutes
On-Demand
Free-Video
Databricks

Exploring Anomalies in Authentication Logs with Autoencoders

0 rewiews
Discover how autoencoders can enhance cybersecurity by detecting anomalies in authentication logs, overcoming limitations of traditional rule-based models and improving threat detection capabilities.
Add to list
1 Lesons
33 minutes
On-Demand
Free-Video
TensorFlow

Intro to Deep Learning - ML Tech Talks

0 rewiews
Comprehensive introduction to deep learning concepts, neural network architectures, and practical applications, featuring TensorFlow examples, code demos, and insights into representation learning and model interpretability.
Add to list
24 Lesons
1 hour 14 minutes
On-Demand
Free-Video
VinAI

Model-Constrained Deep Learning Approaches for Scientific Machine Learning

0 rewiews
Explore model-aware machine learning methods combining scientific computing and data-driven models. Learn about ROM-ML and Autoencoder-based Inversion approaches for PDE-constrained inverse problems.
Add to list
1 Lesons
1 hour 18 minutes
On-Demand
Free-Video
VinAI

Mean Field Limit in Neural Network Learning

0 rewiews
Explore the mean field limit in neural network learning, examining optimization dynamics, convergence to global optima, and data representation in autoencoders. Gain insights from physics analogies.
Add to list
1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Manolis Kellis

Generating New Molecules Using Machine Learning and AI - Lecture 15

0 rewiews
Explore advanced machine learning concepts for molecular generation, from autoencoders and VAEs to GANs, culminating in practical applications for antibiotic discovery using AI.
Add to list
12 Lesons
1 hour 12 minutes
On-Demand
Free-Video
Inside Livermore Lab

AutoEncoders for Aerodynamic Predictions

0 rewiews
Explore autoencoders for aerodynamic predictions, focusing on flow past wing geometries. Learn about non-linear compression, latent representations, and uncertainty quantification in data-driven modeling.
Add to list
1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Inside Livermore Lab

Intrusive Model Order Reduction Using Neural Network Approximants

0 rewiews
Explore innovative neural network-based techniques for efficient reduced-order modeling of complex parametric partial differential equations, focusing on intrusive and interpretable methodologies.
Add to list
1 Lesons
1 hour 1 minute
On-Demand
Free-Video