Deep Reinforcement Learning

I watched the lecture on Deep Reinforcement Learning and these are the highlights of the lecture. Video: https://youtu.be/zR11FLZ-O9M Slides: https://www.dropbox.com/s/wekmlv45omd266o/deep_rl_intro.pdf?dl=0 Website: https://deeplearning.mit.edu/ GitHub Tutorials: https://github.com/lexfridman/mit-deep-learning Every type of machine learning is supervised learning. The difference is the source of the supervision. Supervised learning vs. reinforcement learning The process of how machines learn to act in … Continue reading Deep Reinforcement Learning

Deep Learning Basics

I watched the first lecture on Deep Learning Basics from the MIT course 6.S094: Deep Learning for Self-Driving Cars and these are the highlights of the lecture. Slides for this lecture:ย https://bit.ly/deep-learning-basics-slides Website: https://deeplearning.mit.edu/ GitHub repo with tutorials: https://github.com/lexfridman/mit-deep-learning Why Deep Learning? No need of human expert involvement. Great overview of the TensorFlow ecosystem. The Deep … Continue reading Deep Learning Basics

Experimenting with Machine Learning on Azure

This weekend I want to experiment with machine learning on Azure. I don't have my own Jupyter notebook server so I want to use theย Azure Notebooks, which are Free Jupyter based notebooks in the Azure cloud. The first thing I noticed is that there are two types of workspaces: ML and ML Studio. What is … Continue reading Experimenting with Machine Learning on Azure