Introduction to Machine Learning: NN Time-Stepper

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Introduction to neural network based machine learning techniques. Overview includes:

- Description of deep learning as curve fitting process
- Development and implementation of leading algorithms for deep learning
- Overview of back propagation method for enabling optimization
- Overview of stochastic gradient descent optimization frameworks required for learning

Additional lectures can be found at:
  1. Nathan Kutz
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I would like to thank you, Professor Kutz, for the tremendous effort and dedication you have put into creating this video and so many others over the years. Your commitment to spreading knowledge to everyone has been truly impactful, as you have opened doors to learning opportunities that many can't afford or access. I sincerely hope you continue this extraordinary work, not only because of its immense value to others, but more importantly because it is clear that you find true joy and fulfillment in what you do. Your passion for research and teaching is motivating and drives so many to follow your paths. Your work truly makes a difference, and I wish you nothing but continued happiness and success in all that you do.

Bituman
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Hello, Why your recent videos have no voice on my side? Thanks.

mostafasayahkarajy
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I really want to test this, where can I download?

JoaquinSeguraEllis
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Talking in algorithm simply proves you don't understand the topic well enough to break it down into simple terms. This guy is a complete fraud regurgitating text books.

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