Skip to content

matin-ghorbani/MLP_from_scratch

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
results
results
 
 
test_images
test_images
 
 
.gitignore
.gitignore
 
 
Check_predict_method.ipynb
Check_predict_method.ipynb
 
 
LICENSE
LICENSE
 
 
OneHotEncoder_OneHotDecoder_classes.py
OneHotEncoder_OneHotDecoder_classes.py
 
 
Percision_Recall_functions.py
Percision_Recall_functions.py
 
 
README.md
README.md
 
 
mlp.py
mlp.py
 
 
requirements.txt
requirements.txt
 
 
simple_neural_network.ipynb
simple_neural_network.ipynb
 
 

Repository files navigation

MLP (Multilayer Perceptron) From Scratch

Install Dependencies:

pip install -r requirements.txt

I implemented my neural network as a class:

Losses and Accuracies of my MLP for 100 epochs on Mnist dataset:

Losses and Accuracies of my MLP

Information About It:

  • accuracy_train: 0.9916492693110647
  • accuracy_test: 0.8888888888888888
  • loss_train: 0.0024207044180093113
  • loss_test: 0.015910050921797165

About

Implement a multi layer perceptron from scratch

Topics

classification mlp from-scratch multilayer-perceptron

Resources

Readme

License

MIT license
Activity

Stars

5 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages