NN From Scratch
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Neural Network from Sratch The code represents a neural network with functionalities to initialize the network, backpropagate the errors, update weights using gradient descent, and train using mini-batches. It also provides three utility functions for the cost, sigmoid activation, and its derivative.
Tasks: Deep Learning Fundamentals, Backpropagation
Task Categories: Deep Learning Fundamentals
Published: 10/05/23
Tags
barebone
neural network
from scratch
numpy
backpropagation
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