Feed Forward Algorithm in Python | Deep Neural Network | Artificial Neural Network Calculations
In this video, I tackle a fundamental algorithm for neural networks: Feedforward. I discuss how the algorithm works in a Multi-layered Perceptron.
I discuss about some basics and notations used to denote the input, weights and biases.
Finally I explain the feedforward equation and explain the general form of the equation, which can be extended to any number of samples as well.
In this video my goal is to explain what happens in a neural network, explain the math behind it and how you can implement it from scratch in python.
This is for beginners and for people who are interested in the inner workings of a neural network.
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artificial intelligence,
neural network,
neural network artist,
machine learning,
machine learning art,
perceptron,
linear algebra,
neural network intro,
neural net,
matrix math,
matrix multiplication,
gradient descent,
back propagation,
backpropagation,
supervised learning
