Computer Deep Learning starting from 0 Learning deep learning theory and implementation with Python Programming and development

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Computer
Computer
This is a serious introduction to deep learning. You can enjoy learning the principles of deep learning by building deep learning from 0 using Python 3 without relying on external libraries. You can learn the basics of deep learning and neural networks, as well as back-propagation methods and convolutional neural networks at the implementation level. It covers practical techniques such as how to determine hyperparameters and initial weights, recent trends such as Batch Normalization, Dropout, and Adam, applications such as autonomous driving, image generation, and reinforcement learning, as well as issues related to Why is deep learning better? Why is recognition accuracy better with deeper layers?