@machinelearningtogo: Part 1 of my subscriber series: build your own neural network, step by step. The code (nn_reel.py, 15 lines, only NumPy) builds a network with two inputs, eight hidden neurons and one output. It learns a task that no straight line can solve: a point belongs to group 1 when its two inputs differ and to group 0 when they are equal. Every training step runs forward, measures the error, sends it back through the network and nudges every weight a little. Before training, the predictions sit between 0.50 and 0.75 for all four points. After 5,000 steps the program prints [0. 1. 1. 0.], so every point lands in the right group. The 3D surface in the video is the network's real prediction for every input between 0 and 1, recorded during this exact run (random seed 0). In part 2 you'll watch this network learn step by step and see what the learning rate really does. #machinelearning #ai #neuralnetworks #deeplearning #python

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Saturday 07 November 2026 17:22:45 GMT