ML Assignment 3 - README

We implement a multilayer artificial neural network (ANN) using only NumPy and Python, and comparing its performance with a single-layer ANN and a Keras-based ANN implementation

The repository is available at: https://github.com/AmitNG2000/ML_Assignment3

The implementation is based on Chapter 11 of the book Machine Learning with PyTorch and Scikit-Learn.

Assignment Instruction:

https://docs.google.com/document/d/19KZ-5a8XbB1EkJ6NK4b0S8B9HS_7OL8I/edit

docs\ML_Assignment3_Instructions.pdf

Students

Name	email
Omer Eliyahu	Omereliy@post.bgu.ac.il
Nechi Berhe Weldu	weldu@post.bgu.ac.il
Amit Ner Gaon	amitner@post.bgu.ac.il

Performance Report

Performance Report

Setting Up Your Python Environment Using Conda

conda env create -f environment.yml

After creating this environment, you can activate it via

conda activate machine-learning-book

Acknowledgements

Sebastian Raschka, Yuxi (Hayden) Liu, and Vahid Mirjalili.
Machine Learning with PyTorch and Scikit-Learn. Packt Publishing, 2022.

@book{mlbook2022,
  address   = {Birmingham, UK},
  author    = {Raschka, Sebastian and Liu, Yuxi (Hayden) and Mirjalili, Vahid},
  isbn      = {978-1801819312},
  publisher = {Packt Publishing},
  title     = {Machine Learning with PyTorch and Scikit-Learn},
  year      = {2022}
}

https://sebastianraschka.com/books/#machine-learning-with-pytorch-and-scikit-learn