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About Deep Learning
This document provides an overview of deep learning techniques. It includes 15 chapters that cover topics such as pattern recognition, supervised learning, neural networks, training neural networks, convolutional neural networks, recurrent neural networks, and deep learning applications in R and Python. Code examples in Python demonstrate how to build and train neural network models on classification tasks.
Detailed Information
| Author: | ['william'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 39 |
| Language: | English |
| Format: | |
| Price: | FREE |
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