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Neural Networks in Python Download Materials

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Greetings

Welcome to the data repository for the Neural Networks in Python course.

Please find the source code and download the datasets and other supplementary materials below. Enjoy!


Section 1: Introduction

  • Neural Networks in Python slides

Section 2: Single layer perceptron

  • Google Colab – Perceptron Implemention 1
  • Google Colab – Perceptron Implemention 2
  • Google Colab – Perceptron AND operator
  • Google Colab – Perceptron OR operator
  • Google Colab – Perceptron XOR operator
  • Google Colab – Salary Increase Homework Solution
  • Additional Reading Materials

Section 3: Multilayer perceptron

  • Google Colab – Multi-layer perceptron
  • Google Colab – Multi-layer perceptron Iris
  • Homework Dataset
  • Google Colab – Credit Data Homework Solution

Section 4: Libraries for neural networks

  • Google Colab – Pybrain 1
  • Google Colab – Pybrain 2
  • Google Colab – Pybrain Iris Homework Solution
  • Google Colab – Sklearn 1 (classification)
  • Google Colab – Sklearn 2 (regression)
  • Google Colab – Wine Classification Homework Solution
  • Google Colab – TensorFlow for image classification
  • Google Colab – Fashion MNIST Homework Solution
  • Google Colab – PyTorch for cancer classification
  • Homework – Diabetes Dataset
  • Google Colab – Diabetes Homework Solution
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