This repository is to archive the code templates of different deep learning neural networks I learnt in the Udemy course Deep Learning A-Z™: Hands-On Artificial Neural Networks. The core of the code templates is from that course, however, I organized different parts in my favor and even improved some of the original templates. I am still learning and exploring different deep leanring neural networks and will archive those in this repository too.
Tensorflow is a low-level deep learning framework, and I learnt how to build some common neural networks in Tensorflow through course Complete Guide to TensorFlow for Deep Learning with Python.
Pytorch is another low-level deep learning framework, which does computation through building dynamic graphs while Tensorflow is based on static graph. The techniques I learnt are from course PyTorch for Deep Learning and Computer Vision.