Working with 2 Hidden Layers of Any 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 a neural network that works with:
- Any number of inputs.
- 2 hidden layers with any number of hidden neurons.
- Just a single output.
- 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.
