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
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Deep Learning Frameworks Conference Speakers
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- Turbomachinery - Fluid & Aerodynamics 2019 (Spain)
- Types of Biosensors - Euro Biosensors 2019 (Italy)
- Vehicular Automation and Automatic Driving - Automobile Europe 2020 (Germany)
- Virtual Reality - GAMC 2019 (Philippines)
- Virtual Reality And Augmented Reality - Machine Learning 2019 (Finland)
- Virtual, Augmented and Mixed Reality - Computer Graphics & Animation 2020 (UK)
- Virtualization in Cloud Computing - Cloud Computing 2020 (UK)
- Virtualization of the infrastructure - Cloud Computing 2020 (UK)
- Visualization & 3D Printing - Computer Graphics & Animation 2020 (UK)
- Weapon Designing - Design Engineering 2019 (Italy)
- Wearable Biosensors Technologies - Biosensors & Bioelectronics 2019 (Canada)
- Weather Satellites - Satellite 2020 (UK)
- Wireless Communication - Wireless 2019 (Italy)
- Wireless Communication - Wireless Conference 2020 (UK)
- Wireless Communications - Satellite-2019 (Italy)