tensorflow

TensorFlow tutorials for building and training machine learning models in Python.

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

Python: PyTorch vs TensorFlow vs JAX, Deep Learning Frameworks Compared

Ask three machine learning engineers which framework to use and you will likely get three answers, plus a strong opinion for free. The pytorch vs tensorflow argument has run for years, and JAX quietly joined the fight. This guide puts all three side by side on API design, debugging, performance, ecosystem, and industry adoption, then hands you a decision flowchart so you can pick one with confidence. The best framework is the one your team already knows. The second best ... Read More

Python: 50 Libraries Every Developer Should Know (The Ecosystem Map)

PyPI (Python Package Index) holds over 500,000 packages, and nobody can learn them all. This post cuts that mountain down to the 50 Python libraries that actually matter, grouped by what you are trying to build, each with its install command, a one-line description, and the moment you would reach for it. “If I have seen further, it is by standing on the shoulders of giants.” Isaac Newton Last Updated: July 2026 | Tested on: Python 3.14.6 | Difficulty: Intermediate ... Read More