This contains the code and data files to be used in the live sessison. Below is the topic mapping
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Basic Text Processing and NLP: Using Regex, creating tf idf features, POS Tagging and dependency parsing location
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DL in Practice: Using tf/pytorch to build simple neural networks, understand automatic differentiation, carry out gradient computations location
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DL in NLP 1: LSTMs and GRUs, Encoder Decoder Architecture for Translation location
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DL In Computer Vision 1: Use transfer learning to build image classifiers. Build multiclass and multilabel classifiers location