Reinforcement Learning, Part 6: TD(λ) & Q-learning

Understanding Q-learning in action and by example

How to Ship Machine Learning Models into Production with TensorFlow Serving and Kubernetes

TensorFlow 1.0 vs 2.0, Part 4: TensorBoard

Why TensorBoard?

Magic behind Activation Function!

What does Activation Function mean in Machine Learning?

The Magic Behind The Hype: Machine Learning Algorithms

What is the Computer’s understanding of Image Data?🤔

Model Training

Usually, after collecting the data to train on, you would start building your model. You could choose pre-trained models available online. Before you start a training model, you would spend a pretty huge amount of time creating a dataset. This is one of the key points in machine learning. But the same…