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Deep_Learning

Personal implementations of deep learning algorithms

Topics that will be covered:

Vision NLP & Speech Multimodal Exotic NNs Cool Stuff
CNNs RNNs Audio-Text Denoising Auto Encoders Resnet
Image Classification GRU Video-Audio Variational Auto Encoders Inception
Object Tracking LSTM Video-Text Boltzman Machines Neural Turing Machines
Semantic Segmentation Transformers Hyperspectral-Optical Deep Boltzman Machines
GANs BERT Video-Audio-Text Deep Belief Nets

Useful Resources

APIs Deeper Explanations
TF2 & Keras Code Examples Why Momentum Really Works

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Personal implementations of deep learning algorithms

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