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About Deep Learning Handson
This document provides an overview of deep learning and training a deep neural network (DNN) in Python. It discusses problem definition, training a DNN which involves data analysis, architecture engineering, optimization, and training. It also covers improving the DNN through analysis capabilities, data augmentation, and monitoring layers' training. Finally, it discusses open source packages for hardware, Python frameworks like Theano, and deep learning packages that can help estimate effort. The overall document is a high-level tutorial on deep learning concepts and hands-on training of DNNs in Python.
Detailed Information
Author: | ['Alan '] |
---|---|
Publication Year: | 2019 |
Pages: | 65 |
Language: | English |
Format: | |
Price: | FREE |
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