Neural Networks in Python Download Materials

Published by SuperDataScience Team

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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
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