《图解深度学习》PDF山下隆义.part4

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说明：  第四部分！ 本书从深度学习的发展历程讲起，以丰富的图例从理论和实践两个层面 介绍了深度学习的各种方法，以及深度学习在图像识别等领域的应用案例。内 容涉及神经网络、卷积神经网络、受限玻尔兹曼机、自编码器、泛化能力的 提高等。此外，还介绍了包括Theano 、Pylearn2 、Caffe 、DIGITS 、Chainer 和 Tensorflow 在内的深度学习工具的安装和使用方法。 本书图例丰富， 清晰直观，适合所有对深度学习感兴趣的读者阅读。(This book starts from the development process of deep learning, with rich illustrations from two levels of theory and Practice This paper introduces various methods of deep learning and application cases of deep learning in image recognition. within It involves neural networks, convolution neural networks, restricted Boltzmann machines, self encoders, generalization ability. Raise and so on. In addition, it introduces theano, pylearn2, Caffe, digits, chainer and Installation and usage of deep learning tools including tensorflow. This book is rich in legends, clear and intuitive, suitable for all readers who are interested in deep learning.)

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《图解深度学习》PDF山下隆义.pdf, 95192082 , 2019-04-04