Deep learning
Topic history | v1 (current) | created by janarez
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Deep learning
see v1 | created by janarez | Add resource "Deep Learning"
- Title
- Deep learning
- Description
- Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. 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, machine 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 surpassing human expert performance. Artificial neural networks (ANNs) were inspired by information processing and distributed communication nodes in biological systems.
- Link
- https://en.wikipedia.org/?curid=32472154
resources
relates to Going deeper with convolutions
relates to Deep Residual Learning for Image Recognition
relates to Deep Learning in Computer Vision
treated in Deep Learning
relates to Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
relates to DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices
v2 | updated by janarez | Edit resource "DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices"
treated in
treated in Deep Reinforcement Learning | ÚFAL
treated in LabML Neural Networks
treated in Dive into Deep Learning
treated in Deep Learning
authors
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