深度学习入门-基于Python的理论与实现pdf
这本书是一本真正意义上的深度学习入门书。
它简单地分析了深度学习的原理和相关技术。本书中使用了Python3。
它尽量不依赖外部库或工具。它从数学基础知识出发，引导读者从头开始创建一个经典的深度学习网络，让读者在这个过程中逐步了解深度学习。
本书不仅介绍了深度学习和神经网络的概念和特点等基础知识，还深入讲解了误差反向传播法、卷积神经网络等。此外，还介绍了与深度学习相关的实用技能、自动驾驶的应用、图像生成、强化学习、，以及为什么加深可以提高识别精度。
This book is an introductory book in the true sense of deep learning. It analyzes the principles and related technologies of deep learning in simple terms. Python3 is used in the book. It tries not to rely on external libraries or tools. Starting from basic mathematical knowledge, it leads readers to create a classic deep learning network from scratch, so that readers can gradually understand deep learning in this process. The book not only introduces the basic knowledge such as the concept and characteristics of deep learning and neural network, but also deeply explains the error back propagation method, convolution neural network, etc. in addition, it also introduces the practical skills related to deep learning, the applications of automatic driving, image generation, reinforcement learning, and why deepening can improve the recognition accuracy.
深度学习入门-基于Python的理论与实现pdf
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