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michael-lewis.com | ||
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www.khanna.law
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? |
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adl1995.github.io
[AI summary] The article explains various activation functions used in neural networks, their properties, and applications, including binary step, tanh, ReLU, and softmax functions. |
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datadan.io
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. |
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www.jeremymorgan.com
Want to learn about PyTorch? Of course you do. This tutorial covers PyTorch basics, creating a simple neural network, and applying it to classify handwritten digits. |
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