Towards AI

Deep learning is a subset of machine learning that involves training artificial neural networks to perform tasks. There are three main types of deep learning algorithms: supervised, unsupervised, and semi-supervised. The right algorithm for a specific problem will depend on the characteristics of the data and the complexity of the task.

A Cheat Sheet to Deep Learning Algorithms: Types, Applications, and Examples

KDnuggets

Machine learning is a rapidly growing field that is revolutionizing many industries, including healthcare, finance, and technology. There are many high-quality courses available online, offered by some of the top universities in the world. In this article, we’ll introduce you to 10 free machine learning courses from top universities.

10 Free Machine Learning Courses from Top Universities

freeCodeCamp

TensorFlow is a powerful library for building and training deep learning models. It can handle any type of data and feed it to machine learning models. TensorFlow supports a wide range of hardware and has a high-level API called Keras. In this article, you will learn about tensors, how to build and generate them, and perform basic operations using TensorFlow.

How to Use TensorFlow for Deep Learning – Basics for Beginners

Learn about the field of deep learning, a subset of machine learning that focuses on neural networks with multiple layers. Learn about deep learning frameworks, algorithms, and applications in areas such as image recognition, natural language processing, and autonomous vehicles. Whether you're a data scientist, researcher, or AI enthusiast, there's  information here to help you understand and apply deep learning techniques.

Best of Deep Learning — February 2023