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#Variational Autoencoder (VAE)

Showing: 14 courses
Stanford University

Towards Unsupervised Biomedical Image Segmentation Using Hyperbolic Representations - Jeffrey Gu

2 rewiews
Explore unsupervised biomedical image segmentation using hyperbolic representations. Learn about novel self-supervised hierarchical loss and its applications in medical imaging analysis.
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18 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Aladdin Persson

Variational Autoencoder From Scratch in PyTorch

0 rewiews
Learn to implement a Variational Autoencoder from scratch using PyTorch, covering architecture, training loop, and inference with practical examples and code demonstrations.
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5 Lesons
40 minutes
On-Demand
Free-Video
Yannic Kilcher

NVAE- A Deep Hierarchical Variational Autoencoder

0 rewiews
Detailed explanation of NVAE, a deep hierarchical variational autoencoder for high-resolution image generation, covering architecture, training techniques, and state-of-the-art results.
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10 Lesons
34 minutes
On-Demand
Free-Video
Alfredo Canziani

AE, DAE, and VAE with PyTorch - Generative Adversarial Networks and Code

0 rewiews
Explore autoencoders, VAEs, and GANs with PyTorch. Learn implementation, visualization, and comparison of generative models through hands-on coding and insightful analogies.
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21 Lesons
1 hour 8 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.
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19 Lesons
1 hour 1 minute
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

Generating Sound Digits with a Variational Autoencoder

0 rewiews
Learn to generate audio spectrograms of sound digits using a trained Variational Autoencoder, then convert them into audio. Includes implementation, scripting, debugging, and result evaluation.
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7 Lesons
35 minutes
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

How to Implement a Variational Autoencoder in Python and Keras

0 rewiews
Implement a Variational Autoencoder using Python, TensorFlow, and Keras. Learn to modify the encoder, update loss functions, train the model, and visualize the latent space for data generation.
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10 Lesons
33 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.
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8 Lesons
26 minutes
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

Building and Training an Autoencoder in Keras - TensorFlow - Python

0 rewiews
Learn to build and train autoencoders using Python, TensorFlow, and Keras. Explore encoder-decoder architectures, implement training with the MNIST dataset, and gain practical insights into autoencoder development.
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10 Lesons
27 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.
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16 Lesons
43 minutes
On-Demand
Free-Video
Sebastian Kamph

Stable Diffusion 3: Introduction, Comparison, and Usage Guide

0 rewiews
Explore Stable Diffusion 3's features, comparisons with other AI models, and learn how to download and use this latest image generation tool.
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6 Lesons
16 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.
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24 Lesons
32 minutes
On-Demand
Free-Video
DataLearning@ICL

Probabilistic Circuits: Deep Probabilistic Models with Tractable Inference

0 rewiews
Explore probabilistic circuits as deep models for efficient reasoning under uncertainty, examining their structural properties and connections to neuro-symbolic AI.
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1 Lesons
56 minutes
On-Demand
Free-Video
Devoxx

Music Generation with Magenta - Using Machine Learning in the Arts

0 rewiews
Explore machine learning for music generation using Magenta. Learn about neural networks, train models on your style, and create new rhythms, melodies, and audio clips.
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27 Lesons
46 minutes
On-Demand
Free-Video