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This is Haojie Guo's Deeplearning Framework!1,Define Dynamic Computing Graph; 2,Define Neural Network Operator; 3,Define Linear, Sigmoid, L2_loss; 4,Auto-Diff Computing; 5,Auto-Feedforward and Backward Propogation

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ghj-hey/Mini-Deeplearning-Framework

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build/lib/ghj_pkg
 
 
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ghj_pkg.egg-info
 
 
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ghj_pkg
 
 
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README.md
 
 
setup.py
setup.py
 
 
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test.py
 
 

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About

This Haojie Guo's Deeplearning Framework!

Feature

  • Define Dynamic Computing Graph
  • Define Neural Network Operator
  • Define Linear, Sigmoid, L2_loss
  • Auto-Diff Computing
  • Auto-Feedforward and Backward Propogation

Remain

  • Classification
  • Cross-Entropy
  • CNN, RNN

Connection

wechat: GHJ2739475149 Mail: ghj_xin@163.com

About

This is Haojie Guo's Deeplearning Framework!1,Define Dynamic Computing Graph; 2,Define Neural Network Operator; 3,Define Linear, Sigmoid, L2_loss; 4,Auto-Diff Computing; 5,Auto-Feedforward and Backward Propogation

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