10 Algorithms Every Programmer Should Know – and When to Use Them

@tachyeonz : Programmers love algorithms. What’s an algorithm? Good question! In my academic days, we would have said, “An algorithm is a well-defined, self-contained process or set of rules to be followed in a data processing system.”

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Exploring LSTMs

@tachyeonz : The first time I learned about LSTMs, my eyes glazed over. Not in a good, jelly donut kind of way.

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How to use Windows-10 WSL — (Built In Linux) for Machine Learning !

@tachyeonz : A large number of open source libraries\modules in machine learning are first made available for Linux and the windows versions are always released later . Maintaining two separate OS on Dual boot or switching between Virtual machines is not the best way.

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Build a super fast deep learning machine for under $1,000

@tachyeonz : Register for the O’Reilly Artificial Intelligence Conference, June 26-29 in New York City. Yes, you can run TensorFlow on a $39 Raspberry Pi, and yes, you can run TensorFlow on a GPU powered EC2 node for about $1 per hour.

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Rohan & Lenny #3: Recurrent Neural Networks & LSTMs

@tachyeonz : It seems like most of our posts on this blog start with “We’re back!”, so… you know the drill. It’s been a while since our last post — just over 5 months — but it certainly doesn’t feel that way.

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Dive into Deep Learning with 12 free online courses

@tachyeonz : Every day brings new headlines for how deep learning is changing the world around us. A few examples:

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How to get started with machine learning in manufacturing

@tachyeonz : Smart machines are changing the way we manufacture. Machine learning, a type of artificial intelligence that gives machines the ability to learn without human help, creates new connections between manufacturing design and technologies like augmented reality.

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Variational Autoencoder: Intuition and Implementation

@tachyeonz : There are two generative models facing neck to neck in the data generation business right now: Generative Adversarial Nets (GAN) and Variational Autoencoder (VAE). These two models have different take on how the models are trained.

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Data scientists compete to create cancer-detection algorithms

@tachyeonz : Data scientists are using machine learning to tackle lung cancer detection.

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Deep Learning: Language identification using Keras & TensorFlow

@tachyeonz : Source: openclipart.org, license: Public Domain

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Vanilla Recurrent Neural Networks

@tachyeonz : Most tutorial, deep learning blog posts that introduce recurrent neural networks (RNNs) use Long Short Term Memory (LSTM) cells in their examples.  This happens because training vanilla recurrent neural networks is more difficult, and the results are less impressive.

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Try Deep Learning in Python now with a fully pre-configured VM

@tachyeonz : I love to write about face recognition, image recognition and all the other cool things you can build with machine learning. Whenever possible, I try to include code examples or even write libraries/APIs to make it as easy as possible for a developer to play around with these fun technologies.

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