0 Index - AshokBhat/ml GitHub Wiki

0

• 0 Index

1

• 1x1 Convolution

A

• Accuracy
• ACL
• Activation function
• AI
• AlexNet
• Amazon
• AMD
• Andrew Ng
• AndroidNN
• ANN
• Apple
• Applied ML
• [Arm]] ](/AshokBhat/ml/wiki/[[Arm-Compute-Library)
• ArmNN
• arXiv
• Attention
• AutoEncoder
• AutoML
• Autonomous driving
• Average Pooling
• [AWS]] ](/AshokBhat/ml/wiki/[AWS-EC2) | [AWS Elastic Inference]] | [AWS Inferentia]] ](/AshokBhat/ml/wiki/[AWS-IoT-Greengrass) | [AWS Lambda]] | [AWS SageMaker]] ](/AshokBhat/ml/wiki/[[AWS-SageMaker-Neo)

B

• Backpropagation
• Backward pass
• [Batch]] ](/AshokBhat/ml/wiki/[Batch-gradient-descent) | [Batch Normalization]]
• Bazel
• benchdnn
• BERT
• [bfloat16]] ](/AshokBhat/ml/wiki/[bfloat16-Arm) | [bfloat16 inference]] | bfloat16 training
• Bias
• Binary classification
• BLAS
• BLIS
• Book ML for everyone
• Bounding box

C

• Caffe
• Caffe2
• Cascade R CNN
• Chain rule
• CIFAR
• Classification
• Clustering
• CNN
• COCO
• col2im
• Computer vision
• Conda
• ConvNet
• Convolution
• [Convolutional Layer]] ](/AshokBhat/ml/wiki/[[Convolutional-Neural-Network)
• Core ML
• Cost function
• cuBLAS
• CUDA
• cuDNN

D

• [Data formats]] ](/AshokBhat/ml/wiki/[[Data-mining)
• Dataset
• Deconvolutional Neural Network
• [Deep Learning]] ](/AshokBhat/ml/wiki/[[Deep-Neural-Network)
• deeplearning.ai
• DenseNet
• Depth
• Depthwise Convolution
• Dimensionality reduction
• Discrete Probability Distribution
• DLRM
• DNN
• DNNL
• Down Sampling
• Dropout

E

• EfficientNet
• Eigen
• Epoch
• Example
• Exploding Gradient Problem

F

• Face detection
• Facebook
• Fast R CNN
• Faster R CNN
• FBGEMM
• [Feature]] ](/AshokBhat/ml/wiki/[Feature-engineering) | [Feature extraction]] | [Feature propagation]] ](/AshokBhat/ml/wiki/[[Feature-scaling) | Feature selection
• Federated learning
• Feedforward neural network
• FFT
• Filter
• Flask
• FLOPS
• Forward pass
• FP16
• FP32
• Fully Connected Layer

G

• GAN
• GEMM
• Generative Adversarial Network
• Glow
• GLUE
• GNMT
• [Google]] ](/AshokBhat/ml/wiki/[[Google-Cloud) | Google Colab
• GPGPU
• [GPT]] ](/AshokBhat/ml/wiki/[[GPT-2) | GPT 3
• GPU
• [Gradient]] ](/AshokBhat/ml/wiki/[[Gradient-Descent) | Gradient step
• Graph
• Graphcore
• Groq
• GRU

H

• Habana Labs
• Handwriting recognition
• Home
• Hugging Face
• Hyperparameter

I

• Ian Goodfellow
• iDeep
• ILSVRC
• im2col
• Image classification
• ImageNet
• [Inception]] ](/AshokBhat/ml/wiki/[[Inception-v1) | Inception v3
• [Inference]] ](/AshokBhat/ml/wiki/[[Inference-engine)
• INT8
• [Intel]] ](/AshokBhat/ml/wiki/[[Intel-Optimised-TensorFlow)
• Iteration

J

• Jupyter

K

• Keras
• Kian Katanforoosh

L

• L1 regularization
• L2 regularization
• [Label]] ](/AshokBhat/ml/wiki/[[Label-Encoding)
• Labeled example
• Layer
• [Learning rate]] ](/AshokBhat/ml/wiki/[[Learning-rate-decay)
• [Linear Algebra]] ](/AshokBhat/ml/wiki/[[Linear-regression)
• LLVM
• Logistic regression
• Logit
• [Loss]] ](/AshokBhat/ml/wiki/[[Loss-curve) | Loss function
• LSTM

M

• [Machine Learning]] ](/AshokBhat/ml/wiki/[[Machine-Translation)
• mAP
• Mask R CNN
• Matrix multiplication
• Max pooling
• [Microsoft]] ](/AshokBhat/ml/wiki/[[Microsoft-Azure) | Microsoft Cognitive Toolkit
• [Mini Batch]] ](/AshokBhat/ml/wiki/[[Mini-batch-gradient-descent)
• MiniGo
• [MKL]] ](/AshokBhat/ml/wiki/[[MKL-DNN)
• MLCommons
• MLIR
• [MLPerf]] ](/AshokBhat/ml/wiki/[MLPerf-Inference) | [MLPerf Inference Paper]] | [MLPerf Inference v0.7]] ](/AshokBhat/ml/wiki/[[MLPerf-Training)
• MNIST
• [MobileNet]] ](/AshokBhat/ml/wiki/[[MobileNet-v1) | MobileNet v2
• [Model]] ](/AshokBhat/ml/wiki/[[Model-Zoo)
• MPI
• MS COCO
• MXNet

N

• Named Entity Recognition
• Natural Language Processing
• Neo AI DLR
• Neural network
• NeurIPS
• Neuron
• NGC
• NLP
• NMT
• NNPACK
• Normalization
• Numerical linear algebra
• NumPy
• [Nvidia]] ](/AshokBhat/ml/wiki/[[Nvidia-Tesla)

O

• [Object Detection]] ](/AshokBhat/ml/wiki/[[Object-recognition)
• One Hot Encoding
• [oneDNN]] ](/AshokBhat/ml/wiki/[oneDNN-AArch64) | [oneDNN GEMM]] | [oneDNN performance]] ](/AshokBhat/ml/wiki/[[oneDNN-versions)
• [ONNX]] ](/AshokBhat/ml/wiki/[[ONNX-runtime)
• OPEN AI LAB
• OpenAI
• OpenBLAS
• OpenCV
• OpenMP
• OpenVINO
• [Operator]] ](/AshokBhat/ml/wiki/[[Operator-Fusion)
• Optimizer
• Overfitting

P

• Pandas
• Papers with Code
• Parameter
• Partial derivative
• PASCAL VOC
• Pedestrian detection
• Perceptron
• Pointwise Convolution
• Poisson Distribution
• [Pooling]] ](/AshokBhat/ml/wiki/[[Pooling-Layer)
• Pre trained
• Prediction
• Probability distribution
• Pruning
• [Python]] ](/AshokBhat/ml/wiki/[[Python-Packages)
• [PyTorch]] ](/AshokBhat/ml/wiki/[PyTorch-Build) | [PyTorch Images]] | PyTorch Versions

Q

• QNNPACK
• Quantization

R

• R CNN
• Receptive field
• Recurrent Neural Network
• Region of Interest
• Regression
• Regularization
• Reinforcement learning
• ReLU
• [ResNet]] ](/AshokBhat/ml/wiki/[[ResNet-50) | ResNet 50 Performance
• ResNeXt
• RNN

S

• SciPy
• Semantic segmentation
• Semi supervised learning
• Sentiment analysis
• Sigmoid
• Softmax
• Speech recognition
• SQuAD
• SSD
• State of the art
• Stochastic gradient descent
• StyleGAN
• Supervised learning
• SVM

T

• Tanh
• template
• Tengine
• Tensor
• TensorBoard
• [TensorFlow]] ](/AshokBhat/ml/wiki/[TensorFlow-Benchmarking) | [TensorFlow Eager]] | [TensorFlow examples]] ](/AshokBhat/ml/wiki/[TensorFlow-Hub) | [TensorFlow Lite]] | [TensorFlow Versions]] ](/AshokBhat/ml/wiki/[[TensorFlow.js)
• TensorRT
• Test set
• TF from source
• TFLOPS
• TFRT
• Tiling
• [Top 1 Accuracy]] ](/AshokBhat/ml/wiki/[[Top-5-Accuracy)
• TOPS
• TorchServe
• TPU
• [Training]] ](/AshokBhat/ml/wiki/[[Training-set)
• Transfer learning
• Transformer
• TVM

U

• Underfitting
• Unlabeled example
• Unsupervised Learning

V

• Validation set
• [Vanishing gradient]] ](/AshokBhat/ml/wiki/[[Vanishing-gradient-problem)
• VGG

W

• Weight
• Winograd

X

• Xbyak
• XLA
• XNNPACK

Y

• Yolo