Vector-Quantized Variational Autoencoders (VQ-VAEs) | Deep Learning
13:15
Vanishing Gradients: Why Training RNNs is Hard
29:54
Understanding Variational Autoencoders (VAEs) | Deep Learning
34:38
VQ-VAEs: Neural Discrete Representation Learning | Paper + PyTorch Code Explained
13:53
Residual Vector Quantization for Audio and Speech Embeddings
17:35
The Reparameterization Trick
18:54
Disentanglement with beta-VAEs | Deep Learning
17:09
VQ-VAE | Everything you need to know about it | Explanation and Implementation
18:58