Deep Learning Frameworks
Deep Learning is a subset of Machine Learning which deals with deep neural networks. It is based on a set of algorithms that attempt to model high-level abstractions in data by using multiple processing layers, with complex structures or otherwise, composed of multiple non-linear transformations. Deep Learning is able to solve more complex problems and perform greater tasks. Deep Learning Framework is an essential supporting fundamental structure that helps to make complexity of DL little bit easier. There are top 10 deep learning frameworks:
- Tensorflow
- Theano
- Keras
- Caffe
- Torch
- Deeplearning4j
- MXNet
- Microsoft Cognitive Toolkit
- Lasagne
- BIgDL
Related Conference of Deep Learning Frameworks
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Deep Learning Frameworks Conference Speakers
Recommended Sessions
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