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Machine Learning and AI
Just for Fun
Machine Learning and AI shared a link
Matrix Calculus for DeepLearning (Part2)
this is 2nd part of blog, chain rule.
Machine Learning and AI shared a link
OpenAI Unveils 175 Billion Parameter GPT-3 Language Model
OpenAI announced the upgraded GPT-3 with a whopping 175 billion parameters.
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Google AI researchers want to teach robots tasks through self-supervised reverse engineering
Google and Stanford University researchers propose a technique that has AI predict the steps required to reach a goal state.
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Symbolic Mathematics Finally Yields to Neural Networks
After translating some of math’s complicated equations, researchers have created an AI system that they hope will answer even bigger questions.
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Top 10 Best FREE Artificial Intelligence Courses | Laconicml
Top 10 Best FREE Artificial Intelligence Courses from Harvard, MIT, and Stanford. If you want to learn more about AI, these are the perfect free courses so learn from...
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A Clearer Proof of the Policy Gradient Theorem
A policy-gradient proof with less algebraic manipulation
Machine Learning and AI shared a link
Neural Networks in Ruby: A Not-So-Scary Introduction
Building a neural network isn’t *exactly* like building a human brain, but it’s the closest any of us are going to get. In this article Julie Kent introduces us to neural nets as a concept and shows u...
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Create Deepfakes in 5 Minutes with First Order Model Method
Learn how to quickly create deepfake videos using First Order Model Method and Python.
