summarized-notes

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purvasingh96 / Deep-learning-with-neural-networks
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.
deep-learning summarized-notes pytorch convolutional-neural-networks reccurent-neural-network style-transfer sentiment-analysis udacity word2vec transfer-learning attention-model generative-adversarial-network cycle-gan amazon-sagemaker deploy-machine-learning natural-language-processing natural-language-generation text-classification sentiment-classification bert-model
Language:Jupyter Notebook 21