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Cheatsheet Deep Learning PDF

2 Pages·2018·English
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by ['MichelleHan']| 2018| 2 pages| English

About Cheatsheet Deep Learning

This document provides a summary of key concepts in deep learning and machine learning, including: 1) Neural network architectures include convolutional and recurrent neural networks, with layers made up of hidden units that perform operations like convolutions or transformations through activation functions. 2) Backpropagation is used to update weights in the network by computing gradients with respect to weights based on the loss between the actual and desired output. 3) Recurrent neural networks include different types of gates to allow information to persist, like in LSTMs which include forget gates to avoid the vanishing gradient problem.

Detailed Information

Author:['MichelleHan']
Publication Year:2018
Pages:2
Language:English
Format:PDF
Price:FREE
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