KEY FEATURES - Lots of diagrams, code examples, and exercises - Solves real-world problems with TensorFlow - Uses well-studied neural network architectures - Presents code that can be used for the readers' own applications AUDIENCE This book is for programmers who have some experience with Python and linear algebra concepts like vectors and matrices. No experience with machine learning is necessary.
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KEY FEATURES - Lots of diagrams, code examples, and exercises - Solves real-world problems with TensorFlow - Uses well-studied neural network architectures - Presents code that can be used for the readers' own applications AUDIENCE This book is for programmers who have some experience with Python and linear algebra concepts like vectors and matrices. No experience with machine learning is necessary.
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