Make Your Own Neural Network By Tariq Rashid -

The book is divided into three logical parts:

Neural networks are a fundamental concept in machine learning, inspired by the structure and function of the human brain. A neural network is a network of interconnected nodes or "neurons" that process and transmit information. Each node applies a non-linear transformation to the input data, allowing the network to learn complex patterns and relationships. make your own neural network by tariq rashid

Tariq Rashid’s primary mission is to demystify "scary" mathematics. The book assumes only a secondary school-level understanding of math and provides a "gentle" introduction to the necessary calculus and linear algebra required for neural networks. The book is structured into three distinct phases: The book is divided into three logical parts:

Make Your Own Neural Network is a . It turns a frightening topic into a weekend project. You will finish the book with a working, handwritten-digit recognizer and a genuine understanding of how it learns. While not a reference for production systems, it is arguably the best first book on neural networks. Tariq Rashid’s primary mission is to demystify "scary"

# Backward pass error = y - output_layer output_delta = error * sigmoid_derivative(output_layer) hidden_delta = output_delta.dot(weights2.T) * sigmoid_derivative(hidden_layer)