PyTorch Tutorial

• Discuss PyTorch
  PyTorch is an open source machine learning library for Python and is completely based on Torch. It is primarily used for applications such as natural language processing. PyTorch is developed by Facebook's artificial-intelligence research group along with Uber's
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• PyTorch - Useful Resources
  The following resources contain additional information on PyTorch. Please use them to get more in-depth knowledge on this.
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• PyTorch - Quick Guide
  PyTorch is defined as an open source machine learning library for Python. It is used for applications such as natural language processing. It is initially developed by Facebook artificial-intelligence research group, and Ubers Pyro software for probabilistic programming which is built on it.
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• PyTorch - Recursive Neural Networks
  Deep neural networks have an exclusive feature for enabling breakthroughs in machine learning understanding the process of natural language. It is observed that most of these models treat language as a flat sequence of words or characters, and use a kind of model which is referred as recurrent neura
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• PyTorch - Word Embedding
  In this chapter, we will understand the famous word embedding model ? word2vec. Word2vec model is used to produce word embedding with the help of group of related models. Word2vec model is implemented with pure C-code and the gradient are computed manually.
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• PyTorch - Sequence Processing with Convents
  In this chapter, we propose an alternative approach which instead relies on a single 2D convolutional neural network across both sequences. Each layer of our network re-codes source tokens on the basis of the output sequence produced so far. Attention-like properties are therefore pervasive througho
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