Working with 1 Hidden Layer of 2 Neurons
Welcome to the project that builds a generic neural network trained using the gradient descent algorithm.
The implementation of this part ends by building the gradient descent that works with a network with any number of inputs, 1 hidden layer with just 2 hidden neurons, and just a single output. The code only works with a single training sample.
You can also check my book cited as Ahmed Fawzy Gad 'Practical Computer Vision Applications Using Deep Learning with CNNs'. Dec. 2018, Apress, 978-1-4842-4167-7 which discusses neural networks, convolutional neural networks, deep learning, genetic algorithm, and more.
