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Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks

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A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures
  • Understand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networks
  • Learn the mathematical concepts needed to understand how deep learning models function
  • Use deep learning for solving problems related to vision, image, text, and sequence applications
Most programmers and data scientists struggle with mathematics, ...