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About Introduction To Neural Networks, Deep Learning (Deeplearning - Ai Course)
This document provides an introduction and overview of Course 1 from the deeplearning.ai neural networks and deep learning specialization. The course covers neural network basics, including logistic regression, shallow neural networks, and deep neural networks. It discusses how neural networks can be used for supervised learning problems like predicting house prices based on features. The document outlines the course structure and provides examples to illustrate key concepts in neural networks, such as using an activation function and building a neural network with multiple inputs and hidden layers.
Detailed Information
| Author: | ['Janmejay Pant'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 22 |
| Language: | English |
| Format: | |
| Price: | FREE |
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