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