Notes from FB: How people do postdoc research


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A Basic Recipe for Machine Learning

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Ever since wrapping up the three Deep Learning courses by Andrew Ng I've been meaning to write down some of the gems that he's highlighted throughout the course. One of the nice ones that I felt needed to be written down is his general recipe to approaching a deep learning algorithm/model. I've basically summarized it in a flowchart below (because everybody loves a flowchart right?) Basic deep learning recipe What is bias and variance? The below diagram is the typical explanation that I'm sure most of us are used to.  Graphical illustration of bias and variance How can we know if we have high bias or high variance?  For high bias, we could take a look at the training set performance. A poor performance is an indicator of a poor model fit, and signals that we could try to apply a bigger network to get a better fit of the model. For high variance, we could take a look at the validation set (or dev set - as Andrew calls it) performance. ...
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How to use diff in UNIX

The following were taken from http://www.unixtutorial.org/2008/02/compare-text-files-using-diff/. All credits goes to them. If you need to compare two text files in Unix, you're mostly likely to use the diff command. Today I'll talk about the simplest scenario: you want to compare two files and understand if there are any differences. Suppose you have two files in /tmp directory: /tmp/1.txt: aaa bbb ccc ddd eee fff ggg and /tmp/2.txt: bbb c c ddd eee fff ggg hhh I have deliberately created them so short and simple - this way it's easier to explain how the comparison works. If there are no differences between the files, you will see no output, but if two text files are indeed different, all the text mismatches will be highlighted using the standard diff output: $ diff /tmp/1.txt /tmp/2.txt 1d0 c c 7a7 > hhh Lines like "1d0" and "3c2" are the coordinates and types of the differences between the two compared files, while lines like " " and ...
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Setting Up Tensorflow (with CUDA) for Windows 10

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Below are some of my rough notes on how I've setup my Windows 10 laptop to use Tensorflow with CUDA. My reference: http://www.heatonresearch.com/2017/01/01/tensorflow-windows-gpu.html https://www.tensorflow.org/install/ Install the following NVidia drivers: CUDA Drivers (http://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows). Currently it's CUDA Toolkit 8.0. Can install using the installer downloaded. CUDNN - CUDA for Deep Neural Networks (https://developer.nvidia.com/cudnn). Currently it's 5.1. Once extracted, place the files in the respective directory along with the other CUDA files in the NVIDIA Toolkit folder Setting up Tensorflow (CPU) Setting up Tensorflow (GPU) Note: It's 22/2/2017 now and Google have recently released their Tensorflow 1.0, which might've rendered the above guide obsolote (i've haven't tested them yet). Update (23/2/2017): The above basically creates 2 new anaconda instance for you to pla...
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