Following is what you need for this book: If you are a machine learning engineer, data scientist, AI developer, or simply want to focus on neural networks and deep learning, this book is for you.

Python is recognized as one of the most commonly used programming languages worldwide, especially in the sphere of deep learning. Its adaptability and easy-to-use features make it an ideal ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly a… ...

Keywords: land classifications, remote sensing, Python, machine learning, deep learning, Sukkur Pakistan. Citation: Nigar A, Li Y, Jat Baloch MY, Alrefaei AF and Almutairi MH (2024) Comparison of ...

Deep learning is an extension of some of the concepts originating from machine learning, so for that reason, let’s take a minute to explain what machine learning is. Put simply, machine learning is a ...

Deep learning algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases ...

Automated methods enable the analysis of PET/CT scans (left) to accurately predict tumor location and size (right). Credit: Nature Machine Intelligence (2024). DOI: 10.1038/s42256-024-00912-9 ...

Deep learning is a subfield of machine learning involving artificial neural networks, which are algorithms inspired by the structure of the human brain. Deep learning has many applications and is used ...