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About Deep Learning PDF
This document provides an overview of deep learning. It begins by listing some of the tasks that can be accomplished with deep learning, such as handwritten digit recognition, image classification, machine translation, and more. It then explains how deep learning works using neural networks with multiple layers that can learn complex patterns in large datasets. The document details how individual neurons and layers in the network are connected and how weights are assigned and updated during training using backpropagation to minimize errors. In the end, it provides a high-level explanation of how gradients are computed and backpropagation is used to update weights to reduce the cost function.
Detailed Information
Author: | ['Arnaldo Preso De Liga'] |
---|---|
Publication Year: | 2019 |
Pages: | 87 |
Language: | English |
Format: | |
Price: | FREE |
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