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 michael-lewis.com
A machine learning glossary for hackers ยท Michael I Lewis
| | www.v7labs.com
Activation Functions in Neural Networks [12 Types & Use Cases]
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| | A neural network activation function is a function that is applied to the output of a neuron. Learn about different types of activation functions and how they work.
| | www.khanna.law
Structuring Deep Learning Projects
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| | You want to train a deep neural network. You have the data. It's labeled and wrangled into a useful format. What do you do now?
| | datadan.io
AI building blocks - from scratch with Python - Data Dan
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| | Linear regression and gradient descent are techniques that form the basis of many other, more complicated, ML/AI techniques (e.g., deep learning models). They are, thus, building blocks that all ML/AI engineers need to understand.
| | igorstechnoclub.com
Week 5 in Data Science: Image recognition neural network with 90% accuracy - a trivial task | Igor's Techno Club
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| This week I learned something that finally made "transfer learning" click. I had always heard that you can hit strong accuracy fast by reusing a pretrain...