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Deep Learning for the Life Sciences (2019)

Deep learning has already achieved remarkable results in many fields. Now it’s making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields.

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Deep Learning with JavaScript (2020)

The book you have in your hands will guide your grand tour through this multidimensional space of capabilities. We’ve chosen a path that primarily cuts through the first dimension (modeling tasks), enriched by excursions along the remaining dimensions. We start from the relatively simpler task of predicting numbers from numbers (regression) to the more complex ones such as predicting classes from images and sequences, ending our trip on the fascinating topics of using neural networks to generate new images and training agents to make decisions (reinforcement learning).

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