Make Your Own Neural Network By Tariq Rashid Fixed Jun 2026

# Weight updates weights2 += hidden_layer.T.dot(output_delta) weights1 += X.T.dot(hidden_delta) bias2 += np.sum(output_delta, axis=0, keepdims=True) bias1 += np.sum(hidden_delta, axis=0, keepdims=True)

# Test the network print(output_layer)

for epoch in range(10000): # Forward pass hidden_layer = sigmoid(np.dot(X, weights1) + bias1) output_layer = sigmoid(np.dot(hidden_layer, weights2) + bias2) make your own neural network by tariq rashid

To build a simple neural network, you'll need to: # Weight updates weights2 += hidden_layer

Make Your Own Neural Network by Tariq Rashid: A Definitive Guide keepdims=True) bias1 += np.sum(hidden_delta

Make Your Own Neural Network by Tariq Rashid is widely considered one of the most accessible entry points into Artificial Intelligence. It avoids the "black box" approach of modern libraries like TensorFlow or Keras, instead teaching you to build a fully functional brain-inspired system from scratch using basic Python. Core Philosophy: The "Gentle" Journey