This repository contains a library of my notes on the first half of the content for the "Machine Learning with Python" certification course by freeCodeCamp, which I created as part of self-studying ...

TensorLy was initially built on the top of NumPy and SciPy with a soft dependency on plotting library Matplotlib. A backend system was added to it later on for combining tensor methods with deep ...

TensorFlow also provides libraries for many other languages, although Python tends to dominate. TensorFlow, which competes with frameworks such as PyTorch and Apache MXNet, can train and run deep ...

It has become a transformative force across many industries. In the world of machine learning, Python is a major player and provides a set of powerful libraries for both tasks, TensorFlow and ...

As we’ve discussed, in the last year TensorFlow has been upgraded in the areas of performance, deployment, ease of learning, ease of programming, and compatibility with common Python libraries ...

It works like a computational library for composing modern algorithms, including large numbers of tensor operations ... learning designers. In Python, a framework is a pre-defined structure that ...