This the code for the implementation of the neural networks that was taught during the course Deep Learning A-Z™: Hands on Artificial Neural Networks course provided by Udemy. To help me understand the code later, I have commented explanations of various code segments through-out. Hope it may be helpful for others as well.
To find the official dataset templates and related research papers, visit SuperDataScience.com
The code can be easily implemented and used with custom datasets and parameters.
The code and datasets are for:
- Artificial Neural Networks (ANN)
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- Self Organizing Maps (SOM)
- Boltzmann Machines (BM)
- AutoEncoders (AE)