Deep Learning

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NaN.

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A Neural Network Playground

type=codeblock|id=nn_playground_2|autocreate=htmlcss
<!DOCTYPE html>
<html lang="en">
  <head>
    <style>
      .nn {
        width: 100%;
        height: 100vh;
        border: none;
      }
    </style>
  </head>
  <body>
    <iframe class="nn" src="https://dist-bztuitethr.now.sh/#activation=tanh&batchSize=10&dataset=circle&regDataset=reg-plane&learningRate=0.03&regularizationRate=0&noise=0&networkShape=4,2&seed=0.56655&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification&initZero=false&hideText=false">
  </body>
</html>

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Category: Deep Learning

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Dean SumnerAstraZeneca machine … · 20w

I could only see html script.

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I've tried to understand this playground but I can't understand anything. I don't know how to read the graphics or use any of the controls. I think this network is a product of people who know...

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Siddhartha Chowdhuri3y

Ahaan, got it! Thanks :)

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NaN.

discussion

The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3)

Introduction

In this post, we’ll go into summarizing a lot of the new and important developments in the field of computer vision and co...

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A Beginner's Guide To Understanding Convolutional Neural Networks

https://commonlounge.com/discussion/8c1bbe51d0434044a5490fff56011a52

https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf

Category: Deep Learning

Top comment in this discussion

Kavita RawatMachine Learning and… · 3y

Adit, this series of CNN posts is truly amazing. I already knew quite a bit about CNNs but I decided to read them anyway. Thought I would leave a review and some notes on each one. :)

I was blown away by this part, learnt so much! Again...

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3.

tutorial

Tutorial: Linearly separable data

The idea of linearly separable is easiest to visualize and understand in 2 dimensions. Let the two classes be represented by colors red and green.

A dataset is said to be linearly separable if it is possible to draw a line that can separate the red and green points from each other.

Here are same examples of linearly separable data:

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Category: Deep Learning

4.

discussion

Deep Learning Research Review Week 2: Reinforcement Learning

This is the 2nd installment of a new series called Deep Learning Research Review. Every couple weeks or so, I’ll be summarizing and explaining research papers in specific subfields of deep learning. This week focuses on Reinforcement Learning.

Introduction to Reinfo...

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Category: Deep Learning

5.

tutorial

Gradient Descent intuition

Imagine you're blind folded in a rough terrain, and your objective is to reach the lowest altitude. One of the best and simplest strategies you can use, is to feel the ground in every direction, and take a step in the direction where the ground is descending the fastest. If you keep repeating this process, you might end up at the lake, or even better, somewhere in the huge valley.

The rough terrain is analogous to the cost function....

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Category: Deep Learning

NaN.

tutorial

A Visual Introduction (and Review) of Machine Learning

The following links are extremely well done visualizations which cover the important machine learning concepts. We highly recommend you check it out. In fact, they are the best visualizations of machine learning concepts on the web:

Here is another video by Luis Serrano, one of the course developers of Udacity Machine Learning Engineer Nanodegree. Must watch for beginners, and a helpful review if you have just learnt the core machine learning concepts.

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Category: Deep Learning

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Lucinda Forsythe1y

Very helpful advice in this particular post! It’s the little changes that make the largest changes. Thanks for sharing!

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Abdellah Dany2y

Hi,

I would like to mention the well done series of 4 videos by the brilliant 3blue1brown which let you visualize what is mach...

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Garrett Irwin3y

Connor, its true that they use different units in the text and the graphs, something I didn't notice earlier, and I see that that can be quite annoying.

However, I found this tutorial to be the simplest an...

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