This is the code for the paper Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex in AISTATS 2019 by Hongyang Zhang, Junru Shao, and Ruslan Salakhutdinov. The code is written in ...

Build from Scratch: Define layers, neurons, and activation functions (sigmoid for now) with no TensorFlow or PyTorch—just raw Python and NumPy.; Interactive Training: Train on toy datasets and see ...

These comprise the core simulator. Each instance of the network class is a full neural network with its own set of units, synapses, and plants, which the network stores in 3 lists named units, syns, ...

Confused by neural networks? Break it down step-by-step as we walk through forward propagation using Python—perfect for beginners and curious coders alike!

Create a fully connected feedforward neural network from the ground up with Python — unlock the power of deep learning! Deep Learning with Yacine Posted: May 29, 2025 | Last updated: June 15, 2025 ...