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About Deep Learning: CS229 Lecture Notes
This document provides an overview and introduction to neural networks and deep learning. It discusses using a single neuron to model a rectified linear unit (ReLU) for housing price prediction. It then expands on this simple example by adding additional input features like number of bedrooms and using multiple neurons connected in a network to model more complex relationships and derive intermediate features to predict the output like housing price. Key concepts introduced include input, output and hidden layers in a neural network, as well as the use of activation functions.
Detailed Information
| Author: | ['Shubham'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 16 |
| Language: | English |
| Format: | |
| Price: | FREE |
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