Then, depending on your interests, you can dive into image processing, language and sequence processing, and non-machine-learning applications (Mandelbrot set and a PDE simulation).

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

Comparison Chart: Generative AI vs Machine Learning. ... This course covers fundamental concepts including supervised and unsupervised learning, deep learning, and image processing.

Deep learning, which uses multi-layered artificial neural networks, is a form of machine learning that has demonstrated significant advances in many fields, including natural language processing ...