Education
133 items from guillaume-chevalier/awesome-deep-learning-resources ★1,821
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The Problem of Overfitting youtube.com
A good explanation of overfitting and how to address that problem.
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Gradient Descent in Practice 2: Learning Rate youtube.com
How to adjust the learning rate of a neural network.
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Diagnosing Bias vs Variance youtube.com
Understanding bias and variance in the predictions of a neural net and how to address those problems.
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Gradient Descent: Intuition youtube.com
What follows from the previous video: now add intuition.
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Attention Mechanisms in Recurrent Neural Networks (RNNs) - IGGG youtube.com
A talk for a reading group on attention mechanisms (Paper: Neural Machine Translation by Jointly Learning to Align and Translate).
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Growing Neat Software Architecture from Jupyter Notebooks youtube.com
A primer on how to structure your Machine Learning projects when using Jupyter Notebooks.
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Gradient Descent youtube.com
Okay, I already listed Andrew NG's Coursera class above, but this video especially is quite pertinent as an introduction and defines the gradient descent algorithm.
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Deep Learning Lecture 12: Recurrent Neural Nets and LSTMs youtube.com
Unfolding of RNN graphs is explained properly, and potential problems about gradient descent algorithms are exposed.
