Tagged “Deep Learning”
Tagged “Deep Learning”
-
Common Terms in ML and AI
A concise glossary of common terms encountered in the realm of Machine Learning (ML) and Artificial Intelligence (AI), including Algorithm, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Epoch, Overfitting, Backpropagation, Activation Function, Loss Function, Gradient Descent, Convolutional Neural Networks, Recurrent Neural Networks, Transfer Learning, Bias in AI, and Generative Adversarial Networks.
-
An Introduction to ML and AI Terms
This concise guide introduces key terms and concepts in the field of Artificial Intelligence (AI) and Machine Learning (ML). It explains the broader concept of AI, subsets like Machine Learning and Deep Learning, Neural Networks, Large Language Models, Training, and Datasets.
-
Getting Started with Machine Learning
A comprehensive guide to starting with Machine Learning. It covers the introduction to AI and Machine Learning, basic terminologies, understanding data, the Machine Learning process, common algorithms, introduction to Neural Networks and Deep Learning, tools and libraries, hands-on projects, evaluation metrics, and ethical considerations.
See all tags.
