Add resource "Deep Learning" Accepted
Changes: 11
-
Add Deep Learning
- Title
-
- Unchanged
- Deep Learning
- Type
-
- Unchanged
- Course
- Created
-
- Proposed
- no value
- Current
- 2020
- Description
-
- Unchanged
- In recent years, deep neural networks have been used to solve complex machine-learning problems. They have achieved significant state-of-the-art results in many areas. The goal of the course is to introduce deep neural networks, from the basics to the latest advances. The course will focus both on theory as well as on practical aspects (students will implement and train several deep neural networks capable of achieving state-of-the-art results, for example in named entity recognition, dependency parsing, machine translation, image labeling or in playing video games). No previous knowledge of artificial neural networks is required, but basic understanding of machine learning is advisable.
- Link
-
- Unchanged
- http://ufal.mff.cuni.cz/courses/npfl114/
- Identifier
-
- Proposed
- no value
- Current
- NPFL114
Resource | v1 | current (v2) -
Add Deep learning
- Title
-
- Unchanged
- Deep learning
- Description
-
- Unchanged
- 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
-
- Unchanged
- https://en.wikipedia.org/?curid=32472154
Topic | v1 | current (v1) -
Add Deep learning treated in Deep Learning
- Current
- treated in
Topic to resource relation | v1 -
Add Deep learning relates to Deep Learning in Computer Vision
- Current
- relates to
Topic to resource relation | v1 -
Add Deep learning relates to Going deeper with convolutions
- Current
- relates to
Topic to resource relation | v1 -
Add Deep learning relates to Deep Residual Learning for Image Recognition
- Current
- relates to
Topic to resource relation | v1 -
Add Deep learning relates to Sentiment Analysis with Deep Learning using BERT
- Current
- relates to
Topic to resource relation | v1 -
Add Computer vision subtopic of Deep learning
- Current
- subtopic of
Topic to topic relation | v1 -
Add Machine learning relates to Deep learning
- Current
- relates to
Topic to topic relation | v1 -
Add Computer programming used by Deep learning
- Current
- used by
Topic to topic relation | v1 -
Add Computer science parent of Deep learning
- Current
- parent of
Topic to topic relation | v1