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About 05 ANN Artificial Neural Networks
The document provides an overview of the key topics for understanding artificial neural networks, including: 1) Theoretical topics such as the perceptron model, activation functions, cost functions, feedforward networks, and backpropagation. 2) Coding topics using TensorFlow Keras for building artificial neural networks for regression and classification problems, including exercises and Tensorboard visualizations. 3) A review of biological neurons and how the perceptron model abstracts the basic concepts of a neuron, which can then be combined into multi-layer perceptron models and deep neural networks. Activation functions are also introduced to constrain network outputs.
Detailed Information
| Author: | ['Rafael Monteiro'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 216 |
| Language: | English |
| Format: | |
| Price: | FREE |
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