The blog post discusses about PyTorch and TensorFlow in deep learning.

The blog post introduces unstable gradient problem in deep learning.

The blog post introduces some optimizers in deep learning.

The blog post introduces the basics of feedforward neural networks in machine learning.

The blog post introduces the basics of how to use XGBoost in Python.