滋养
发表于 2025-3-25 05:04:53
Overview: Background and ApplicationsThroughout the book we have covered the theoretical aspects of models and introduced the reader to a number of frameworks for deep learning. In this chapter we will cover the process of training deep learning models.
永久
发表于 2025-3-25 10:37:08
Introduction to Deep Learning,This chapter provides a broad overview and an historical context on the subject of deep learning. It also gives the reader a roadmap for navigating the book, its prerequisites, and further reading to dive deeper into the subject matter.
Mundane
发表于 2025-3-25 14:01:07
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GRILL
发表于 2025-3-25 19:13:56
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neutral-posture
发表于 2025-3-25 20:14:47
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发源
发表于 2025-3-26 01:17:59
Convolutional Neural Networks,Convolution Neural Networks (CNNs) in essence are neural networks that employ the convolution operation (instead of a fully connected layer) as one of its layers.
adulterant
发表于 2025-3-26 06:00:04
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灯泡
发表于 2025-3-26 10:13:57
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样式
发表于 2025-3-26 14:32:41
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palliate
发表于 2025-3-26 19:53:23
Automatic Differentiation,In the chapter on Stochastic Gradient Descent, we treated the computation of gradients of the loss function as a black box.