Few Shot Learning - EXPLAINED!

CodeEmporium · Beginner ·📄 Research Papers Explained ·5y ago
Follow me on M E D I U M: https://towardsdatascience.com/likelihood-probability-and-the-math-you-should-know-9bf66db5241b TIMESTAMPS 0:00 Case Study 1:37 Prior Knowledge 3:07 Disadvantage of Traditional Models 4:57 The new Model – explained 6:40 Math 9:04 Code REFERENCES [1] Approaches to Few Shot Learning: https://research.aimultiple.com/few-shot-learning/ [2] Blog on Meta Learning & Few Shot Learning (Borealis AI): https://www.borealisai.com/en/blog/tutorial-2-few-shot-learning-and-meta-learning-i/ [2] A Survey of Few Shot Learning (Section 2.4 explains the approaches pretty well in plain …
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Chapters (6)

Case Study
1:37 Prior Knowledge
3:07 Disadvantage of Traditional Models
4:57 The new Model – explained
6:40 Math
9:04 Code

Playlist

Uploads from CodeEmporium · CodeEmporium · 55 of 60

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1 Linear Regression and Multiple Regression
Linear Regression and Multiple Regression
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 2 Logistic Regression - THE MATH YOU SHOULD KNOW!
Logistic Regression - THE MATH YOU SHOULD KNOW!
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Generative Adversarial Networks - FUTURISTIC & FUN AI !
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Deep Mind's AlphaGo Zero - EXPLAINED
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 6 Mask Region based Convolution Neural Networks - EXPLAINED!
Mask Region based Convolution Neural Networks - EXPLAINED!
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 7 Attention in Neural Networks
Attention in Neural Networks
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 8 Depthwise Separable Convolution - A FASTER CONVOLUTION!
Depthwise Separable Convolution - A FASTER CONVOLUTION!
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 9 One Neural network learns EVERYTHING ?!
One Neural network learns EVERYTHING ?!
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 10 Neural Voice Cloning
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 11 AI creates Image Classifiers…by DRAWING?
AI creates Image Classifiers…by DRAWING?
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 12 Unpaired Image-Image Translation using CycleGANs
Unpaired Image-Image Translation using CycleGANs
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 13 K-Means Clustering - EXPLAINED!
K-Means Clustering - EXPLAINED!
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 14 Random Forest Classification
Random Forest Classification
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 15 Data Science in Finance
Data Science in Finance
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 16 Hypothesis testing with Applications in Data Science
Hypothesis testing with Applications in Data Science
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 17 A/B Testing - Simply Explained
A/B Testing - Simply Explained
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 18 The Kernel Trick - THE MATH YOU SHOULD KNOW!
The Kernel Trick - THE MATH YOU SHOULD KNOW!
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 19 Support Vector Machines - THE MATH YOU SHOULD KNOW
Support Vector Machines - THE MATH YOU SHOULD KNOW
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Principal Component Analysis (PCA) - THE MATH YOU SHOULD KNOW!
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 21 History of Calculus - Animated
History of Calculus - Animated
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 22 Curiosity in AI
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 23 DropBlock - A BETTER DROPOUT for Neural Networks
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 24 Autoencoders - EXPLAINED
Autoencoders - EXPLAINED
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 25 Recurrent Neural Networks - EXPLAINED!
Recurrent Neural Networks - EXPLAINED!
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 26 LSTM Networks - EXPLAINED!
LSTM Networks - EXPLAINED!
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 27 Building an Image Captioner with Neural Networks
Building an Image Captioner with Neural Networks
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 28 10 Machine Learning Questions - ANSWERED!
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 29 How do neural networks work?
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 30 Evolution of Face Generation | Evolution of GANs
Evolution of Face Generation | Evolution of GANs
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 31 How does Google Translate's AI work?
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 32 How to keep up with AI research?
How to keep up with AI research?
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 33 How does YouTube recommend videos? - AI EXPLAINED!
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 34 Variational Autoencoders - EXPLAINED!
Variational Autoencoders - EXPLAINED!
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 35 Logistic Regression - VISUALIZED!
Logistic Regression - VISUALIZED!
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 36 Gradient Descent - THE MATH YOU SHOULD KNOW
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 37 Boosting - EXPLAINED!
Boosting - EXPLAINED!
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 38 Transformer Neural Networks - EXPLAINED! (Attention is all you need)
Transformer Neural Networks - EXPLAINED! (Attention is all you need)
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 39 Loss Functions - EXPLAINED!
Loss Functions - EXPLAINED!
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 40 Optimizers - EXPLAINED!
Optimizers - EXPLAINED!
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 41 NLP with Neural Networks & Transformers
NLP with Neural Networks & Transformers
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 42 Batch Normalization - EXPLAINED!
Batch Normalization - EXPLAINED!
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 43 Activation Functions - EXPLAINED!
Activation Functions - EXPLAINED!
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 44 Data Scientist Answers Interview Questions
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 45 Why use GPU with Neural Networks?
Why use GPU with Neural Networks?
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 46 How do GPUs speed up Neural Network training?
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 47 BERT Neural Network - EXPLAINED!
BERT Neural Network - EXPLAINED!
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 48 ConvNets Scaled Efficiently
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 49 Transformer Neural Net makes music! (JukeboxAI)
Transformer Neural Net makes music! (JukeboxAI)
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 50 What do filters of Convolution Neural Network learn?
What do filters of Convolution Neural Network learn?
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 51 We're hosting a Machine Learning Conference!
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 52 MLconfEU 2020: Machine Learning Conference for Software Engineers
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 53 Are Neural Networks Intelligent?
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 54 Time Series Forecasting with Machine Learning
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 ▶ Few Shot Learning - EXPLAINED!
Few Shot Learning - EXPLAINED!
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 56 How does a Data Scientist Fight FRAUD?
How does a Data Scientist Fight FRAUD?
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 57 How would a Data Scientist analyze Customer Churn?
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 58 Expectations with Machine Learning
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 59 Why Logistic Regression DOESN'T return probabilities?!
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 60 How you SHOULD code Machine Learning
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