DL: First Neural Network with TensorFlow/Keras
Writing a neural network in raw PyTorch means a training loop, gradient zeroing, and a pile of boilerplate before your model learns a thing. TensorFlow Keras throws all of that out: you stack a few layers, call compile() and fit(), and training just runs. In this tutorial you build your first Keras network, add callbacks, and even run it on the PyTorch backend, since TensorFlow itself will not install on the newest Python yet. “The purpose of Keras is to ... Read More
