Concise Visual Summary of Deep Learning Architectures

Concise summary of deep learning neural networks #AI

  • With new neural network architectures popping up every now and then, it’s hard to keep track of them all.
  • RNNs sometimes refer to recursive neural networks, but most of the time they refer to recurrent neural networks.
  • That’s not the end of it though, in many places you’ll find RNN used as placeholder for any recurrent architecture, including LSTMs, GRUs and even the bidirectional variants.
  • Many abbreviations also vary in the amount of “N”s to add at the end, because you could call it a convolutional neural network but also simply a convolutional network (resulting in CNN or CN).
  • Composing a complete list is practically impossible, as new architectures are invented all the time.

This article was written by Fjodor Van Veen. 
With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing…
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New Machine Learning Cheat Sheet by Emily Barry

New #MachineLearning Cheat Sheet by Emily Barry #abdsc

  • This blog about machine learning was written by Emily Barry.
  • Emily is a Data Scientist in San Francisco, California.
  • The more she learns about machine learning algorithms, the more challenging it is to keep these subjects organized in her brain to recall at a later time.
  • This is by no means a comprehensive guide to machine learning, but rather a study in the basics for herself and the likely small overlap of people who like machine learning and love emoji as much as she do.
  • For more articles about machine learning, click here.

This blog about machine learning was written by Emily Barry. Emily is a Data Scientist in San Francisco, California. She really loves emoji. Another thing she…
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Book: Machine Learning Algorithms From Scratch

Book: #MachineLearning Algorithms From Scratch #abdsc

  • From First Principles With Pure Python and

    Use them on Real-World Datasets

    You must understand algorithms to get good at machine learning.

  • In this mega Ebook written in the friendly Machine Learning Mastery style that you’re used to, finally cut through the math and learn exactly how machine learning algorithms work.
  • I’ve written books on algorithms, won and ranked in the top 10% in machine learning competitions, consulted for startups and spent a long time working on systems for forecasting tropical cyclones.
  • (yes I have written tons of code that runs operationally)

    I get a lot of satisfaction helping developers get started and get really good at machine learning.

  • I teach an unconventional top-down and results-first approach to machine learning where we start by working through tutorials and problems, then later wade into theory as we need it.

Discover How to Code Machine Algorithms
From First Principles With Pure Python and
Use them on Real-World Datasets

$37 USD
You must understand algorithms t…
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New Machine Learning Cheat Sheet by Emily Barry

Machine Learning Cheat Sheet

  • This blog about machine learning was written by Emily Barry.
  • Emily is a Data Scientist in San Francisco, California.
  • The more she learns about machine learning algorithms, the more challenging it is to keep these subjects organized in her brain to recall at a later time.
  • This is by no means a comprehensive guide to machine learning, but rather a study in the basics for herself and the likely small overlap of people who like machine learning and love emoji as much as she do.
  • For more articles about machine learning, click here.

This blog about machine learning was written by Emily Barry. Emily is a Data Scientist in San Francisco, California. She really loves emoji. Another thing she…
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30 Free Courses: Neural Networks, Machine Learning, Algorithms, AI

Free Courses: Neural Networks, Machine Learning, Algorithms, AI #abdsc

  • The 78-video playlist above comes from a course called Neural Networks for Machine Learning, taught by Geoffrey Hinton, a computer science professor at the University of Toronto.
  • The videos were created for a larger course taught on Coursera, which gets re-offered on a fairly regularly basis.
  • Neural Networks for Machine Learning will teach you about “artificial neural networks and how they’re being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc.” The courses emphasizes ” both the basic algorithms and the practical tricks needed to get them to work well.”
  • You can find the video playlist on YouTube.
  • For more free courses about computer science, click here.

The 78-video playlist above comes from a course called Neural Networks for Machine Learning, taught by Geoffrey Hinton, a computer science professor at the Uni…
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Free Deep Learning Textbook

Free #DeepLearning Textbook:  #abdsc #BigData #DataScience #MachineLearning #AI

  • The online version of the book is now complete and will remain available online for free.
  • For more information about this 700+ pages free book and its authors, click here.
  • The picture below represents a selection of (non-free) deep learning books: you can check them here.
  • For other free data science books, click here.
  • To access the free deep learning textbook, scroll down to the contents section, below the picture.

The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in partic…
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Python for Big Data in One Picture

Python for Big Data in One Picture  #DataScience #IoT #MachineLearning #BigData

  • This picture originally posted here covers the following topics:

    To zoom in, view picture in the original article, or click on picture.

  • The original article also provides a detailed listing of all the 100+ entities listed in the picture, broken down in categories and sub-categories, some items belonging to multiple categories.
  • Anyone interested in creating a clickable link for each of these entities?
  • For instance, entity 1.1 (in the original article) is numpy, while 4.1 is matplotlib.

This picture originally posted here covers the following topics:

Basic stack
Newer packages
Integrated platforms
Visualization
Data formats
MapReduce
Glue
GPU…
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