Kirill Eremenko
52 SlideShares 502 Abonné
Mots-clés
education future artificial intelligence machine learning deep learning neural networks auto encoders self organizing maps boltzmann machine convolutional neural networks training artificial neural networks recurrent neural networks classification regression regression & classification autoencoders data scientist career data datascience
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Build your DataScience Career Game Plan

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Mots-clés
education future artificial intelligence machine learning deep learning neural networks auto encoders self organizing maps boltzmann machine convolutional neural networks training artificial neural networks recurrent neural networks classification regression regression & classification autoencoders data scientist career data datascience
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