BigDL References

BigDL
Developer(s)	Intel
Repository	https://github.com/intel-analytics/BigDL
Type	Library for deep learning
License	Apache 2.0^[1]
Website	BigDL: Distributed Deep Learning Library for Apache Spark

Machine learning and data mining
Part of a series on
Paradigms Supervised learning Unsupervised learning Online learning Batch learning Meta-learning Semi-supervised learning Self-supervised learning Reinforcement learning Curriculum learning Rule-based learning Quantum machine learning
Problems Classification Generative modeling Regression Clustering Dimensionality reduction Density estimation Anomaly detection Data cleaning AutoML Association rules Semantic analysis Structured prediction Feature engineering Feature learning Learning to rank Grammar induction Ontology learning Multimodal learning
Supervised learning ( classification • regression) Apprenticeship learning Decision trees Ensembles Bagging Boosting Random forest k-NN Linear regression Naive Bayes Artificial neural networks Logistic regression Perceptron Relevance vector machine (RVM) Support vector machine (SVM)
Clustering BIRCH CURE Hierarchical k-means Fuzzy Expectation–maximization (EM) DBSCAN OPTICS Mean shift
Dimensionality reduction Factor analysis CCA ICA LDA NMF PCA PGD t-SNE SDL
Structured prediction Graphical models Bayes net Conditional random field Hidden Markov
Anomaly detection RANSAC k-NN Local outlier factor Isolation forest
Artificial neural network Autoencoder Cognitive computing Deep learning DeepDream Feedforward neural network Recurrent neural network LSTM GRU ESN reservoir computing Restricted Boltzmann machine GAN Diffusion model SOM Convolutional neural network U-Net Transformer Vision Mamba Spiking neural network Memtransistor Electrochemical RAM (ECRAM)
Reinforcement learning Q-learning SARSA Temporal difference (TD) Multi-agent Self-play
Learning with humans Active learning Crowdsourcing Human-in-the-loop RLHF
Model diagnostics Coefficient of determination Confusion matrix Learning curve ROC curve
Mathematical foundations Kernel machines Bias–variance tradeoff Computational learning theory Empirical risk minimization Occam learning PAC learning Statistical learning VC theory
Machine-learning venues ECML PKDD NeurIPS ICML ICLR IJCAI ML JMLR
Related articles Glossary of artificial intelligence List of datasets for machine-learning research List of datasets in computer vision and image processing Outline of machine learning
v t e

BigDL^[2] is a distributed deep learning framework for Apache Spark, created by Jason Dai at Intel. BigDL has its source code hosted on GitHub.^[3]

Features

This section is empty. You can help by adding to it. (August 2018)

Applications

This section is empty. You can help by adding to it. (August 2018)

References

^ "BigDL LICENSE". GitHub. 31 March 2020.
^ "BigDL Project". bigdl-project.github.io. Retrieved 2017-12-19.
^ "BigDL: Distributed Deep Learning Library for Apache Spark". GitHub. 31 March 2020.

v t e Deep learning software
Comparison
Open source	Apache MXNet Apache SINGA Caffe Deeplearning4j DeepSpeed Dlib Keras Microsoft Cognitive Toolkit ML.NET OpenNN PyTorch TensorFlow Theano Torch ONNX OpenVINO MindSpore
Proprietary	Apple Core ML IBM Watson Neural Designer Wolfram Mathematica MATLAB Deep Learning Toolbox
Category

Features

Applications

See also

References