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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- Waste to Energy - Green Energy 2020 (Scotland)
- Waste to Energy - Renewable Energy 2020 (Canada)
- Water Resource Management - Civil Engineering 2020 (Germany)
- Wave Energy - Green Energy 2020 (Scotland)
- Wearable Biosensors - Biosensors & Bioelectronics 2020 (Canada)
- Wearables & Mobile Diagnostics - Microfluidics 2020 (Netherlands)
- Wearables & Mobile Diagnostics - Microfluidics 2020 (UAE)
- Web Services and Computing Essentials - Computer Science-2020 (Australia)
- Web, Mobile and Multimedia Technologies - Wireless Communications 2021 (Germany)
- What the Future Holds? - Robotics 2021 (France)
- Wi-Fi Router, Wireless Router &Wi-Fi Booster - Wireless Tech Meet 2020 (UAE)
- Wind energy - Green Energy 2020 (Scotland)
- Wind Energy - Renewable Energy 2020 (Canada)
- Wireless and Mobile Communication - Wireless Communications 2021 (Germany)
- Wireless Channels and Cellular Networks - Wireless Communications 2021 (Germany)
- Wireless Communication - Wireless 2020 (Spain)
- Wireless Communication and Multimedia - Wireless Tech Meet 2020 (UAE)
- WLANs, WPANs, and Femtocells - Wireless Tech Meet 2020 (UAE)