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A Bhat edited this page Nov 21, 2019
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- Types: Supervised Learning, Unsupervised Learning
- Networks: Convolutional Neural Network, Recurrent Neural Network
- Image classification: ResNet-50, VGG16, Inception v3, MobileNets
- NLP: Bert
- MLPerf - MLPerf Inference, MLPerf Training
- Data sets - MNIST database, ImageNet
- Frameworks: TensorFlow, PyTorch, MXNET
- Inference engines: ArmNN, OpenVINO, TensorRT, TensorFlow Lite, Core ML
- Libraries: cuDNN, MKL-DNN, Arm Compute Library
- Compiler tech: MLIR, TensorFlow XLA, TVM