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About C1-Neural Networks and Deep Learning
This document provides an introduction to using neural networks to recognize handwritten digits. It discusses how while humans can easily recognize handwritten digits, building an algorithm to do so is quite challenging. Neural networks provide an approach by using large numbers of labeled examples to automatically infer recognition rules. The chapter will implement a basic neural network program using perceptrons that can recognize digits with over 96% accuracy using only 74 lines of code. It aims to explain key concepts like perceptrons, sigmoid neurons, and stochastic gradient descent to build intuition about how neural networks work.
Detailed Information
| Author: | ['ArifuzzamanFaisal'] |
|---|---|
| Publication Year: | 2017 |
| Pages: | 60 |
| Language: | English |
| Format: | |
| Price: | FREE |
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