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TensorFlow 2.0深度学习应用实践

王晓华著

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本书共18章，内容包括：计算视觉与深度学习概述、Python的安装与使用、深度学习的理论基础、Python类库的使用、OpenCV的使用、OpenCV与TensorFlow的融合、TensorFlow概念、TensorFlow重要算法、Keras的使用、卷积层与MNIST实战、卷积神经网络公式推导与应用、TensorFlow Datasets和TensorBoard详解、ResNet注意力机制、深度学习常用面试问题、GAN、图卷积神经网络等内容。

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(中文) TensorFlow 2.0深度学习应用实践 (Chinese Edition)

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Deep Learning with Tensorflow

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Length: 363 pages

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