DeepLearning

This repository contains Jupyter ( or rather Google Colab) notebooks that contain demo codes used in the book Deep Learning for Business Manager which is used as a textbook in course Foundations of Deep Learning and Artificial Intelligence at Praxis Business School. The codes for the different chapters are organised as follows :

• Chapter 0 : The AI Winter, no code
• Chapter 1 : Intro to Neural Networks, no code
• Chapter 2 : Basic Feedforward Neural Network that teaches a machine to multiply.
• Chapter 3 : Modification of previous model that demonstrates different parameters.
• Chapter 4 : Medical Diagnostics as an example of a real use of neural network.
• Chapter 5 : Convulational Neural Network that demonstrates Image Recognition or Classification using the CIFAR dataset
• Chapter 6 : Recurrent Neural Networks for predictive typing
  • Prediction of next CHARACTER
  • Prediction of next WORD
• Chapter 7 : Reinforcement Learning
  • Self Driving Taxi
  • Lunar Lander
• Chapter 8 : Generative Adversarial Networks that learns How to write numbers
• Chapter 9 : Carbon and Silicon. Only philosophy, no code!
  
  There is also a very basic Notebook to get absolute newbies started on Google Colab. There are better tutorials on Colab are available but this notebook is just for the sake of completeness.