meanxai

This channel covers AI-related technologies.

Slides and code can be found at:
https://github.com/meanxai/machine_learning
https://github.com/meanxai/deep_learning

The topics we will cover are:

1. Machine Learning
2. Deep Learning
3. Recommendation System
4. Natural Language Processing
5. Reinforcement Learning

All videos are produced in Korean and translated into English. And the audio is generated by AI, Text-to-Speech. There may be some grammatical errors or awkward expressions.

[MXNLP-1-01] Neural Probabilistic Language Model (NPLM) - [1]
[MXNLP-1-01] Neural Probabilistic Language Model (NPLM) - [1]
[MXDL-15-12] Self-Organizing Maps (SOMs)
[MXDL-15-12] Self-Organizing Maps (SOMs)
[MXDL-15-11] Competitive Learning Model
[MXDL-15-11] Competitive Learning Model
[MXDL-15-10] Contrastive Hebbian Learning (CHL)
[MXDL-15-10] Contrastive Hebbian Learning (CHL)
[MXDL-15-09] Restricted Boltzmann machines (RBMs) - (2)
[MXDL-15-09] Restricted Boltzmann machines (RBMs) - (2)
[MXDL-15-08] Restricted Boltzmann machines (RBMs)
[MXDL-15-08] Restricted Boltzmann machines (RBMs)
[MXDL-15-07] Boltzmann Machine
[MXDL-15-07] Boltzmann Machine
[MXDL-15-06] Hopfield Network (4) - Storkey learning rule for a Hopfield network
[MXDL-15-06] Hopfield Network (4) - Storkey learning rule for a Hopfield network
[MXDL-15-05] Hopfield Network (3) - Storage capacity and Pseudo-inverse learning rule
[MXDL-15-05] Hopfield Network (3) - Storage capacity and Pseudo-inverse learning rule
[MXDL-15-04] Hopfield Network (2) - Ising model and Energy function
[MXDL-15-04] Hopfield Network (2) - Ising model and Energy function
[MXDL-15-03] Hopfield Network (1) - Storing and recalling information
[MXDL-15-03] Hopfield Network (1) - Storing and recalling information
[MXDL-15-02] Hebbian learning (2) - Weight decay
[MXDL-15-02] Hebbian learning (2) - Weight decay
[MXDL-15-01] Hebbian learning (1)
[MXDL-15-01] Hebbian learning (1)
[MXDL-14-11] GAN [11/11] - Dual Discriminator Generative Adversarial Networks (D2GAN)
[MXDL-14-11] GAN [11/11] - Dual Discriminator Generative Adversarial Networks (D2GAN)
[MXDL-14-10] GAN [10/11] - Wasserstein GAN with gradient penalty (WGAN-GP)
[MXDL-14-10] GAN [10/11] - Wasserstein GAN with gradient penalty (WGAN-GP)
[MXML-1-07] K-Nearest Neighbors (KNN) [7/7] - KNN regression
[MXML-1-07] K-Nearest Neighbors (KNN) [7/7] - KNN regression
[MXML-1-06] K-Nearest Neighbors (KNN) [6/7] - Inverse Occurrence Frequency (IOF) similarity
[MXML-1-06] K-Nearest Neighbors (KNN) [6/7] - Inverse Occurrence Frequency (IOF) similarity
[MXML-1-05] K-Nearest Neighbors (KNN) [5/7] - Matching coefficient and Jaccard coefficient
[MXML-1-05] K-Nearest Neighbors (KNN) [5/7] - Matching coefficient and Jaccard coefficient
[MXML-1-04] K-Nearest Neighbors (KNN) [4/7] - Weighted KNN (WKNN)
[MXML-1-04] K-Nearest Neighbors (KNN) [4/7] - Weighted KNN (WKNN)
[MXML-1-03] K-Nearest Neighbors (KNN) [3/7] - The curse of dimensionality and lazy learner
[MXML-1-03] K-Nearest Neighbors (KNN) [3/7] - The curse of dimensionality and lazy learner
[MXML-1-02] K-Nearest Neighbors (KNN) [2/7] - Optimal K value and decision boundary
[MXML-1-02] K-Nearest Neighbors (KNN) [2/7] - Optimal K value and decision boundary
[MXML-1-01] K-Nearest Neighbors (KNN) [1/7] - The basics of KNN classification algorithm
[MXML-1-01] K-Nearest Neighbors (KNN) [1/7] - The basics of KNN classification algorithm
[MXDL-14-09] GAN [9/11] - Wasserstein GAN (2)
[MXDL-14-09] GAN [9/11] - Wasserstein GAN (2)
[MXDL-14-08] GAN [8/11] - Wasserstein GAN (1)
[MXDL-14-08] GAN [8/11] - Wasserstein GAN (1)
[MXDL-14-07] GAN [7/11] - Implementation of Least Squares GANs (LSGANs)
[MXDL-14-07] GAN [7/11] - Implementation of Least Squares GANs (LSGANs)
[MXDL-14-06] GAN [6/11] - Least Squares GAN (LSGAN)
[MXDL-14-06] GAN [6/11] - Least Squares GAN (LSGAN)
[MXDL-14-05] GAN [5/11] - Implementation of unrolled GAN models
[MXDL-14-05] GAN [5/11] - Implementation of unrolled GAN models
[MXDL-14-04] GAN [4/11] - Unrolled GAN
[MXDL-14-04] GAN [4/11] - Unrolled GAN
[MXDL-14-03] GAN [3/11] - Deep Convolutional GAN (DCGAN)
[MXDL-14-03] GAN [3/11] - Deep Convolutional GAN (DCGAN)
[MXDL-14-02] GAN [2/11] - Implementation of a standard GAN model
[MXDL-14-02] GAN [2/11] - Implementation of a standard GAN model