Office Hours

A place for Brandon to chat with students and for students to chat with each other

Two dimensional convolutional neural network case study

author
Brandon Rohrer
20 June, 2020
There's a fresh Cottonwood case study out — a two dimensional convolutional neural network that learns to categorize handwritten digits from the MNIST data set. It will be part of the 2D ConvNet course, 322, now under construction. It builds off the code and theory we walked through in Course 321...

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Collection of Cottonwood examples released as Course 209

author
Brandon Rohrer
21 May, 2020
My favorite documentation is a functioning implementation. To this end I've created a growing collection of Cottonwood implementations to use as a starting point for your own projects and investigations. I plan to grow it over time and make it an increasingly rich arsenal of working examples...

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Section 7 of Course 321 is out

author
Brandon Rohrer
19 May, 2020
The one dimensional convolutional neural networks course is now complete, minus one section. In section 7 of course 321 we demonstrate advanced model development techniques, including adding layers and data augmentation. All that remains is to build the model into a lightweight tool that does...

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Course 137. Signal Processing Techniques open for enrollment

author
Brandon Rohrer
11 May, 2020
I just realized that Course 137 wasn't allowing enrollment. I just changed that. The data munging course (131) was getting a little cluttered, and I wanted to add even more to the library of signal processing content, so I broke it out into a separate course. It, like all the 100-series...

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Course 321 Section 6 release: Model creation

author
Brandon Rohrer
30 April, 2020
In this latest section, we get down to the business of creating a heartbeat classification model and begin to tune it and build it out. With this section, Course 321 on one dimensional convolutional neural networks has become mature enough to graduate to a full-fledged course. This is the fun...

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Course 321 Section 5 release

author
Brandon Rohrer
18 April, 2020
Section 5 of the 1D convolutional neural networks course is out! This is the grittiest bit of the project: getting the electrocardiography data, learning what it means, and choosing what parts of it we're going to use. It's also in my opinion the most critical. This is the bedrock of the...

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Course 321 Section 4 released

author
Brandon Rohrer
15 April, 2020
The latest section of Course 321 on one dimensional neural networks just landed. It builds off of our previous work on convolution to add ReLU, pooling, and batch normalization. Finally we have a complete convolutional neural network with all the trimmings! There's a fully worked example in there...

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Cottonwood is outfitted for one dimensional convolutional neural networks

author
Brandon Rohrer
13 April, 2020
I’m happy to let y’all know that as of this weekend Cottonwood has a complete kit all the tools necessary to get started with one dimensional convolutional neural networks, Including convolution, rectified linear units, pooling, and batch normalization. Here’s an example showing all of the...

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New Release: Course 137. Signal Processing Techniques

author
Brandon Rohrer
12 April, 2020
The data munging course (131) was getting a little cluttered, and I wanted to add even more to the library of signal processing content, so I broke it out into a separate course. It, like all the 100-series courses, is free. It's a collection of things I use or refer to regularly. I hope you'll...

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Testing your code brings peace of mind

author
Brandon Rohrer
01 April, 2020
Testing a machine learning framework is challenging. When an ML algorithm runs, it operates on data to produce a result. It usually incorporates an element of randomness. Data is often unknown unfamiliar. It’s hard to automatically determine whether everything is working as it...

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