Are Neural Networks Intelligent?

CodeEmporium · Beginner ·📐 ML Fundamentals ·5y ago
Are we going about AI and deep learning the right way? Let's talk about it. Please subscribe to keep me alive: https://www.youtube.com/c/CodeEmporium?sub_confirmation=1 SPONSOR Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite. Love it! https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=codeemporium&utm_content=description-only REFERENCES [1] On the measure of intelligence (…
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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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 3 Generative Adversarial Networks - FUTURISTIC & FUN AI !
Generative Adversarial Networks - FUTURISTIC & FUN AI !
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 4 Deep Learning on the Cloud - GPU TO LEARN FASTER
Deep Learning on the Cloud - GPU TO LEARN FASTER
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 5 Deep Mind's AlphaGo Zero - EXPLAINED
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
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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 20 Principal Component Analysis (PCA) - THE MATH YOU SHOULD KNOW!
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
Curiosity in AI
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 23 DropBlock - A BETTER DROPOUT for Neural Networks
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!
10 Machine Learning Questions - ANSWERED!
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 29 How do neural networks work?
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?
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!
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
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
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?
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
MLconfEU 2020: Machine Learning Conference for Software Engineers
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 ▶ Are Neural Networks Intelligent?
Are Neural Networks Intelligent?
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 54 Time Series Forecasting with Machine Learning
Time Series Forecasting with Machine Learning
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 55 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
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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