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Deep learning

4 items

Convolutional Neural Network-CNN

2019/ 1/ 3
304

Machine learning – machine learning | ML

2018/ 12/ 28
81

Deep learning – Deep learning | DL

2019/ 1/ 4
65

Generative Adversarial Networks – Generative Adversarial Networks | GAN

2019/ 1/ 3
30

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Artificial intelligence related knowledge

  • AI algorithm (37)
    • Attention mechanism
    • Encoder-Decoder and Seq2Seq
    • Q-Learning
    • Adaboost algorithm
    • Random Forest - Random forest
    • Learning Vector Quantization - Learning vector quantization | LVQ
    • K neighborhood - k-nearest neighbors | KNN
    • Linear Discriminant Analysis - Linear Discriminant Analysis | LDA
    • TF-IDF
    • Meta-learning - Meta learning
    • Genetic algorithm (GA)
    • Discriminative model
    • Generative model
    • Latent Dirichlet Allocation|LDA
    • Heuristic algorithm - Heuristic
    • Particle Swarm Optimization (PSO)
    • Artificial Neural Network - Artificial Neural Network | ANN
    • Transfer learning
    • Long-term and short-term memory networks - Long short-term memory | LSTM
    • Generate a confrontation network - Generative Adversarial Networks | GAN
    • Recurrent Neural Network - Recurrent Neural Network | RNN
    • Convolutional Neural Network - CNN
    • Restricted Boltzmann machine | RBM
    • Reinforcement Learning - Reinforcement Learning | RL
    • Self-coder (Autoencoder)
    • Feedforward neural network
    • Fuzzy Neural Network (Neuro-fuzzy | FNN)
    • Self-organization map (SOM)
    • K-means clustering
    • Backpropagation
    • Integrated Learning (Ensemble Learning)
    • Support vector machine - Support Vector Machine | SVM
    • Decision tree - Decision tree
    • Logistic regression - Logistic regression
    • Naive Bayes classifier | NBC Bayes classifier | NBC
    • Linear regression
    • Machine learning - machine learning | ML
  • Basic science (15)
    • Training set, validation set, and test set (attachment: segmentation method + cross-validation)
    • Classification model evaluation indicators-accuracy rate, accuracy rate, recall rate, F1, ROC curve, AUC curve
    • Pre-training
    • Unsupervised learning - Unsupervised learning | UL
    • Supervised learning - Supervised learning
    • Big data
    • TPU (Tensor Processing Unit)
    • ASIC (Application Specific Integrated Circuit)
    • FPGA (Field-Programmable Gate Array)
    • GPU (Graphics Processing Unit)
    • Computational power
    • Algorithm - Algorithm
    • Turing Test - The Turing Test
    • Weak artificial intelligence, strong artificial intelligence, super artificial intelligence
    • Artificial Intelligence - Artificial intelligence | AI
  • Mathematical basis (16)
    • Tensor | Tensor
    • Stochastic gradient descent | SGD
    • Gradient descent method - Gradient descent
    • Constrained optimization
    • Estimation theory
    • Hypothesis test
    • Mathematical statistics
    • Maximum a posteriori probability (MAP)
    • Maximum Likelihood Estimate - Maximum Likelihood Estimate | MLE
    • Posterior probability
    • Prior probability (Prior probability)
    • Probability theory
    • Matrix | Matrix
    • Scalar | scalar
    • Vector | vector
    • Linear algebra
  • 机器 学习 (12)
    • Adaboost algorithm
    • Random Forest - Random forest
    • Unsupervised learning - Unsupervised learning | UL
    • Supervised learning - Supervised learning
    • K-means clustering
    • Integrated Learning (Ensemble Learning)
    • Support vector machine - Support Vector Machine | SVM
    • Decision tree - Decision tree
    • Logistic regression - Logistic regression
    • Naive Bayes classifier | NBC Bayes classifier | NBC
    • Linear regression
    • Machine learning - machine learning | ML
  • Deep learning (8)
    • Capsule neural network
    • Attention mechanism
    • Deep Learning - Deep Learning | DL
    • Long-term and short-term memory networks - Long short-term memory | LSTM
    • Generate a confrontation network - Generative Adversarial Networks | GAN
    • Recurrent Neural Network - Recurrent Neural Network | RNN
    • Convolutional Neural Network - CNN
    • Reinforcement Learning - Reinforcement Learning | RL
  • Feature engineering (4)
    • Classification feature
    • Numerical features
    • Exploratory Data Analysis | EDA
    • Feature Engineering-Feature Engineering
  • Natural language processing (16)
    • Attention mechanism
    • Encoder-Decoder and Seq2Seq
    • Stem extraction - Stemming | Lexical restoration - Lemmatisation
    • Participle - Tokenization
    • Part of speech tagging - Part of speech
    • Component syntax analysis
    • Word Embedding | Word embedding
    • Word2vec
    • Dependency parsing analysis - Constituency-based parse trees
    • Natural Language Generation - Natural-language generation | NLG
    • Natural language understanding - NLU | NLI
    • Transform
    • Text mining - Text mining
    • BERT | Bidirectional Encoder Representation from Transformers
    • Named entity recognition - Named-entity recognition | NER
    • Natural Language Processing - Natural language processing | NLP
  • Computer vision (5)
    • Capsule neural network
    • Face recognition | Facial recognition
    • Computer Vision - Computer Vision | CV
    • Convolutional Neural Network - CNN
    • Support vector machine - Support Vector Machine | SVM
  • Voice interaction (4)
    • Speech Synthesis Markup Language-SSML丨Speech Synthesis Markup Language
    • Speech Recognition Technology - ASR丨Automatic Speech Recognition
    • Phoneme - phone | phonetics
    • Speech Synthesis (Text to Speech | TTS)

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