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Machine learning

• Training | Inference
• Supervised Learning : Classification | Regression
• Unsupervised Learning : Clustering
• Federated learning

Terms

• Model | Parameter | Prediction
• Dataset | Feature | Label | Example | Labeled example | Unlabeled example
• Neural network : Neuron | Perceptron | Weight | Bias | Activation function | Layer
• Hyperparameter : Learning rate | Epoch
• Networks: Convolutional Neural Network | Recurrent Neural Network
• Data formats : FP16 | FP32 | bfloat16 | INT8

ML benchmarks

• Image classification: AlexNet | VGG | ResNet | Inception | MobileNets | DenseNet | ResNeXt
• NLP: BERT
• MLPerf : MLPerf Inference | MLPerf Training
• Data sets : MNIST | ImageNet | COCO | PASCAL VOC | CIFAR

ML Software

• Frameworks: TensorFlow | PyTorch | MXNET | Keras | ONNX
• Inference engines: ArmNN | OpenVINO | TensorRT | TensorFlow Lite | Core ML
• Libraries: cuDNN | MKL-DNN | Arm Compute Library
• BLAS libraries: Eigen | OpenBLAS | MKL | BLIS | cuBLAS
• Compiler tech: MLIR | TensorFlow XLA | TVM

Companies

• Google | Facebook | Microsoft | Amazon
• Arm | AMD | Intel
• Habana Labs | Groq | Graphcore