Python, TensorFlow, neural networks and deep learning have become hot keywords in the current IT field due to the popularity of artificial intelligence. This book first introduces the basic usage of Python and its commonly used libraries Numpy, Matplotlib and Scipy; secondly, it introduces the basic knowledge and usage of TensorFlow; then it introduces the basic knowledge of neural networks and the basic applications of neural networks - the theory and implementation of perceptrons, linear regression and logistic regression; finally, it introduces the theory and implementation of two popular deep neural networks - convolutional neural networks and recurrent neural networks. The content of this book is from the simple to the complex, step by step, highly practical, and contains rich simulation examples.
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