Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...

Deep Learning A-Z 2025: Neural Networks, AI, and ChatGPT Prize. Offered by Udemy, this course is taught by Kirill Eremenko and Hadelin de Ponteves and focuses on practical deep learning ...

Fully connected networks can be combined with other machine learning functions to create different deep learning architectures. Different Types of Deep Learning. There are a variety of deep learning ...

Deep Learning Algorithms. Deep learning algorithms are the rules and mathematical procedures that guide how a deep learning model learns from data, adjusts its parameters, and improves its accuracy ...

At present, there are various types of energy storage on the user side, including the charging piles+energy storage, photovoltaic+energy storage, photovoltaic+charging piles+energy storage, etc. Each ...

Deploying deep learning algorithms on embedded platforms involves a structured process that optimizes models, considers hardware constraints, and addresses real-time performance requirements. By ...

Low-density parity-check(LDPC) code has been selected as the channel coding method by 5G NR because of its excellent error-correcting performance. To further improve the performance of LDPC decoding, ...