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Brain vs. Deep Learning (2015)
This blog post compares deep learning to the brain and derives an estimate of computational power for the brain which is used to predict the singularity.
New
The latest blog posts to take off on Hacker News. 3,092 posts.
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An Intuitive Explanation of Convolutional Neural Networks (2016)
What are Convolutional Neural Networks and why are they important? Convolutional Neural Networks (ConvNets or CNNs) are a category of Neural Networks that have proven very effective in areas such a…
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Cruise's 3rd generation self-driving car
Electric self-driving cars will save millions of lives and significantly accelerate the world’s transition to sustainable energy, but only…
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Teaching an AI to play a simple game using Q-learning
In this post I will walk you through how to teach a computer to master a simple video game using the q-learning reinforcement learning algorithm. We will implement the algorithm from scratch in Ruby without the use of external gems. To enable us to illustrate the inner workings of the algorithm we will be teaching […]
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Predict the future with Machine Learning
Learn Machine Learning (ML) and be ahead of the pack in the Software industry. Machine Learning is a sub-field of Artificial Intelligence (A.I), which is heavily used in modern software systems. Machine Learning algorithms can improve software (a robot) and it's ability to solve problems through gaining experience and…
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Confession of a so-called AI expert
[Twitter thread, Hacker News discussion, Le Monde]
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How I Used Deep Learning to Train a Chatbot to Talk Like Me
Can you see the resemblance?
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A Comparison of Distributed Machine Learning Platforms
This paper surveys the design approaches used in distributed machine learning (ML) platforms and proposes future research directions. This ...
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Visualizing the Math Behind Logistic Regression and Newton's Method
The Laziest Programmer - Because someone else has already solved your problem.
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A Guide to Synthesizing Adversarial Examples
Synthesizing adversarial examples for neural networks is surprisingly easy.
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The Road to Superintelligence (2015)
Part 1 of 2: "The Road to Superintelligence". Artificial Intelligence — the topic everyone in the world should be talking about.
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End to End Machine Learning Pipeline Tutorial
In the fall of 2016, I was a Teaching Fellow (Harvard's version of TA) for the graduate class on "Advanced Topics in Data Science (CS209/109)" at Harvard University. I was in-charge of designing the class project given to the students, and this tutorial has been built on top of the project I designed for the class.
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Using Tesseract OCR with Python
In this tutorial you will learn how to apply Optical Character Recognition (OCR) to images using PyTesseract, Python, and OpenCV.
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When not to use deep learning
I know it’s a weird way to start a blog with a negative, but there was a wave of discussion in the last few days that I think serves as a good hook for some topics on which I’ve been thinking recently. It all started with a post in the Simply Stats blog by Jeff Leek on the caveats of using deep learning in the small…
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Benchmarking TensorFlow on Cloud CPUs: Cheaper Deep Learning Than Cloud GPUs
Using CPUs instead of GPUs for deep learning training in the cloud is cheaper because of the massive cost differential afforded by preemptible instances.
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Generating faces of cats using Generative Adversarial Networks
I experimented with generating faces of cats using Generative adversarial networks (GAN). I wanted to try DCGAN, WGAN and WGAN-GP in low and higher resolutions. I used the CAT dataset (yes this is …