What a text recognition system actually sees
Some insights into the neural network “black box” of a text recognition system
Some insights into the neural network “black box” of a text recognition system
Machine Learning Cheatsheet.
Brief visual explanations of machine learning concepts with diagrams, code examples and links to resources for learning more.
Brief visual explanations of machine learning concepts with diagrams, code examples and links to resources for learning more.
Image augmentation library in Python for machine learning
Machine Learning Notebook
A resource for machine learning with Python
A resource for machine learning with Python
University of California, Berkeley full course 2018
This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm.
By the end of this course, you will have built autonomous agents that efficiently make decisions in fully informed, partially observable and adversarial settings
https://inst.eecs.berkeley.edu/~cs188/fa18/
This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm.
By the end of this course, you will have built autonomous agents that efficiently make decisions in fully informed, partially observable and adversarial settings
https://inst.eecs.berkeley.edu/~cs188/fa18/