Exploring Deep Learning combines three chapters from Manning books, selected by author and experienced deep learning practitioner Andrew Trask. In it, you’ll get a high-level view of basic deep learning concepts and take a look at different learning techniques, including supervised vs. unsupervised learning and parametric vs. non-parametric learning. Using Tensorflow, you’ll also explore more advanced concepts, such as classification, recurrent neural networks (RNNs), seq2seq architecture, vector representation, and embedding natural language as you build a working chatbot. With this timely and accessible sampler, you’ll have a firm foundation for building on your deep learning education as you discover for yourself deep learning’s potential for the future.

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