Python深度学习

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说明：  本书由Keras之父、现任Google人工智能研究员的弗朗索瓦·肖菜（Francois Chollet）执笔，详尽介绍了用Python和Keras进行深度学习的探索实践，涉及计算机视觉、自然语言处理、生成式模型等应用。 书中包含30多个代码示例，步骤讲解详细透彻。由于本书立足于人工智能的可达性和大众化，读者无须具备机器学习相关背景知识即可展开阅读。在学习完本书后，读者将具备搭建自己的深度学习环境、建立图像识别模型、生成图像和文字等能力。 本拐适合从事大数据及机器学习领域工作，并对深度学习感兴趣的各类读者。(This book is written by Francois Chollet, the father of keras and currently a researcher of Google artificial intelligence. It introduces in detail the exploration and practice of deep learning with Python and keras, involving computer vision, natural language processing, generative model and other applications. The book contains more than 30 code examples, the steps to explain in detail. Because this book is based on the accessibility and popularity of artificial intelligence, readers can read without the background knowledge of machine learning. After learning this book, readers will have the ability to build their own deep learning environment, establish image recognition model, and generate images and characters. It is suitable for all kinds of readers who are engaged in big data and machine learning and are interested in deep learning.)

文件列表：

Python深度学习.pdf, 19939796 , 2020-10-23