## Ideas

Listing some interesting problems I may work on later.

Tensorflow Certificate Program review. Is it worth getting? How is the exam conducted? Here are the the requirements and some suggestions for those who are planning to take it.

## Deep Learning

This post is visualizing how machine learning optimization algorithm are updating the parameters. How is momentum accelerating the learning? How does it look like when we apply and adaptive learning rate?

Imitating Loomis Method with pix2pix and cyclegan GAN frameworks

Yes, another Hello World example with MNIST

Digitalize MNIST Digits with Autoencoder

My reflections on Generative Adversarial Networks

## Understanding "Learning"

Flashing...

Another example of Gradient Descent optimization

Solving a linear regression problem with Gradient Descent optimization algorithm to get a better understand of 'learning'…

## Visualization

A data visualization tutorial with ggplot2

What is happening in each iteration? Visualize 'Learning'...