Kirill Eremenko
52 SlideShares 539 Followers
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deep learning machine learning education future artificial intelligence neural networks auto encoders self organizing maps boltzmann machine convolutional neural networks training artificial neural networks recurrent neural networks classification regression autoencoders regression & classification data scientist career data datascience
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Presentations

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Build your DataScience Career Game Plan

7 years ago • 1421 Views

Deep Learning A-Z™: Artificial Neural Networks (ANN) - The Neuron

6 years ago • 5972 Views

Deep Learning A-Z™: Artificial Neural Networks (ANN) - Gradient Descent

6 years ago • 1647 Views

Deep Learning A-Z™: Artificial Neural Networks (ANN) - Backpropagation

6 years ago • 1323 Views

Deep Learning A-Z™: Artificial Neural Networks (ANN) - The Activation Function

6 years ago • 3037 Views

Deep Learning A-Z™: Artificial Neural Networks (ANN) - Plan of Attack

6 years ago • 9949 Views

Deep Learning A-Z™: Artificial Neural Networks (ANN) - How do Neural Networks Learn

6 years ago • 1374 Views

Deep Learning A-Z™: Artificial Neural Networks (ANN) - How do Neural Networks Work

6 years ago • 1613 Views

Deep Learning A-Z™: Artificial Neural Networks (ANN) - Stochastic Gradient Descent

6 years ago • 1719 Views

Deep Learning A-Z™: Artificial Neural Networks (ANN) - Module 1

6 years ago • 42084 Views

Deep Learning A-Z™: Recurrent Neural Networks (RNN) - LSTM Variations

6 years ago • 616 Views

Deep Learning A-Z™: Recurrent Neural Networks (RNN) - LSTMs

6 years ago • 1920 Views

Deep Learning A-Z™: Recurrent Neural Networks (RNN) - The Vanishing Gradient Problem

6 years ago • 3577 Views

Deep Learning A-Z™: Convolutional Neural Networks (CNN) - Summary

6 years ago • 2300 Views

Deep Learning A-Z™: Convolutional Neural Networks (CNN) - Step 2: Pooling

6 years ago • 2038 Views

Deep Learning A-Z™: Convolutional Neural Networks (CNN) - Module 2

6 years ago • 38692 Views

Deep Learning A-Z™: Self Organizing Maps (SOM) - Plan of attack

6 years ago • 1395 Views

Deep Learning A-Z™: Convolutional Neural Networks (CNN) - Step 1(b): ReLU Layer

6 years ago • 4758 Views

Deep Learning A-Z™: Recurrent Neural Networks (RNN) - The Idea Behind Recurrent Neural Networks

6 years ago • 1521 Views

Deep Learning A-Z™: Convolutional Neural Networks (CNN) - What Are Convolutional Neural Networks

6 years ago • 4462 Views

Deep Learning A-Z™: Self Organizing Maps (SOM) - How Do SOMs Work?

6 years ago • 1829 Views

Deep Learning A-Z™: Convolutional Neural Networks (CNN) - Step 3: Flattening

6 years ago • 7088 Views

Deep Learning A-Z™: Self Organizing Maps (SOM) - How do SOMs learn (part 1)

6 years ago • 1168 Views

Deep Learning A-Z™: Recurrent Neural Networks (RNN) - Practical Intuition

6 years ago • 549 Views

Deep Learning A-Z™: Self Organizing Maps (SOM) - Module 4

6 years ago • 7558 Views

Deep Learning A-Z™: Recurrent Neural Networks (RNN) - Module 3

6 years ago • 12431 Views

Deep Learning A-Z™: Convolutional Neural Networks (CNN) - Step 1: Convolution Operation

6 years ago • 5483 Views

Deep Learning A-Z™: Self Organizing Maps (SOM) - K-Means Clustering

6 years ago • 1014 Views

Deep Learning A-Z™: Self Organizing Maps (SOM) - K-Means Clustering (part 2)

6 years ago • 434 Views

Deep Learning A-Z™: Self Organizing Maps (SOM) - Reading an Advanced SOM

6 years ago • 2043 Views
Tags
deep learning machine learning education future artificial intelligence neural networks auto encoders self organizing maps boltzmann machine convolutional neural networks training artificial neural networks recurrent neural networks classification regression autoencoders regression & classification data scientist career data datascience
See more