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

New Release: Course 313, Advanced Neural Network Methods

I have some great news. Thanks In no small part to the strong support of all of you who have enrolled in courses, I’ve been able to accelerate the course production schedule. Course 313, Advanced Neural Network Methods, is complete two months ahead of schedule. The course has six major...

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Dropout section of Course 313 is out

Section 2 of Course 313 covers dropout in neural networks. It's a powerful tool for getting good results from your neural network, and it actually speeds up computation. I'm really pleased with how smoothly the material on advanced neural network methods is coming together. It's...

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Regularization Section of Course 313 completed

Feel like spending some quality time on a guided tour of neural network code? I just finished the regularization section of Course 313, Neural Networks Methods. Here’s a sample lecture , so you can try before you buy.

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New Format for Course 313

Hi Everyone, I wanted to give you a heads up that I’m trying a video-centric format for Course 313, Advanced Neural Network Methods. Instead of the written portion and the exercises I used in Course 312, I focused on walking through the code, explaining how every new part works, and how...

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Cottonwood, a Flexible Neural Network Framework

In the 310 series of courses, we are building a neural network framework piece by piece. In Course 311 we built a vizualization for an autoencoder. In Course 312 we built fully connected neural networks. In Course 313 we are adding performance-enhancing features like normalization, dropout,...

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Free Preview of Course 312

Hi Machine Learners, If you've been on the fence about signing up for Course 312, Build a Neural Network Framework, feel free to take a look at a sample lesson and see what you think. I opened up Exercise 19, where we start coding up backpropagation, so that you could see how the course works...

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Refund Policy: 30 Days for Any Reason

I want to make sure everyone is aware of the End-to-End Machine Learning School refund policy. This banner appears on every course page: It’s the Internet equivalent of try-before-you-buy. Why The goal of The End-to-End Machine Learning School is not to make money; it’s to help people who...

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Updated Course Plan for the 2019 - 2020 School Year

With the release of Course 312. Build a Neural Network Framework , it's time to update my course creation plans for the next year. Your comments and questions have given me direction for where we should head next. Course 313. Advanced Neural Network Methods January 10, 2020 This...

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Learning Paths for Course 312, Build a Neural Network

To help navigate Building a Neural Network in Course 312, I laid out a few different paths with varying time commitments. Watch the Walkthroughs: 2-4 hours Copy the Code: 10-20 hours Write Your Own: 40-80 hours Get Creative: 120+ hours You can choose how much time you'd...

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Course Completion Announcement: 312. Build a Neural Network Framework

It is my pleasure to announce that at long last Course 312, Build a Neural Network Framework is complete. If you are one of the many students who took the early purchase option and have been waiting for the last bit of content to land, I encourage you to dive in. If you haven’t signed up yet,...

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