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About Deep Learning in Python - Master Data Science and Machine Learning With Modern Neural Networks Written in Python, Theano, and TensorFlow (PDFDrive)
This document provides an introduction to deep learning using neural networks in Python. It discusses what a neural network is from a biological and machine learning perspective. The key concepts covered include logistic regression units that can be combined into feedforward neural networks with one or more hidden layers. Later chapters will cover backpropagation training, as well as popular deep learning frameworks like Theano and TensorFlow. The goal is to provide a gentle introduction to deep learning concepts and practical code examples.
Detailed Information
| Author: | ['Sergio Rossatto'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 104 |
| Language: | English |
| Format: | |
| Price: | FREE |
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