Simple Beginner's guide to Reinforcement Learning & its implementation
Simple Beginner’s guide to Reinforcement Learning & its implementation One of the most fundamental questions in the field of reinforcement learning for scientists across the globe has been – “How to learn a new skill?”. The desire to understand the answer is obvious – if we can understand this, we can enable human species to do things we might not have thought before. Alternately, we can train mac
Construction — Machine Learning from Scratch
Construction¶ In this section, we construct two classes to implement a basic feed-forward neural network. For simplicity, both are limited to one hidden layer, though the number of neurons in the input, hidden, and output layers is flexible. The two differ in how they combine results across observations. The first loops through observations and adds the individual gradients while the second calcul
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