https://github.com/reddyprasade/deep-learning

Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design, medical image analysis, material inspection and board game programs, where they have produced results comparable to and in some cases superior to human experts.

anns artificial-neural-networks audio-recognition biological-brains board-game-programs deep-learning deep-learning-algorithms deep-learning-tutorial deep-neural-networks deep-reinforcement-learning hierarchical-learning natural-language-processing neural-network neural-networks social-network-filtering speech-recognition

Last synced: 09 Apr 2025