This repo contains various use-cases of deep-learning implemented in Pytorch. It also contains summarized notes of each chapter from the book, 'Deep Learning' written by Ian Goodfellow.
natural-language-processing
udacity
deep-learning
sentiment-analysis
text-classification
word2vec
pytorch
generative-adversarial-network
style-transfer
convolutional-neural-networks
transfer-learning
natural-language-generation
sentiment-classification
attention-model
cycle-gan
amazon-sagemaker
reccurent-neural-network
bert-model
summarized-notes
deploy-machine-learning
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Updated
Mar 14, 2021 - Jupyter Notebook