154 - Understanding the training and validation loss curves
Loss curves contain a lot of information about training of an artificial neural network. This video goes through the interpretation of various loss curves generated using the Wisconsin breast cancer data set. https://archive.ics.uci.edu/ml/datase...) Code generated in the video can be downloaded from here: https://github.com/bnsreenu/python_fo...

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155 - How many hidden layers and neurons do you need in your artificial neural network?

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CS 152 NN—2: Intro to ML—Low validation loss, high training loss

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Loss Functions - EXPLAINED!

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A Critical Skill People Learn Too LATE: Learning Curves In Machine Learning.

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Tom Goldstein: "What do neural loss surfaces look like?"

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Random is not so random - understanding random in python

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153 - Artificial Neural Networks - Explanation for those who understand linear regression

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All Machine Learning algorithms explained in 17 min

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AI Basics: Accuracy, Epochs, Learning Rate, Batch Size and Loss

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138 - The need for scaling, dropout, and batch normalization in deep learning

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Exposing The Solid State Donut Battery. It's Over.

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How convolutional neural networks work, in depth

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Something is jamming GPS over Europe. Here's what we found

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XGBOOST in Python (Hyper parameter tuning)

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The Insane Genius of a Formula 1 Gearbox

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Trump Attends NBA Finals, Cries Election Fraud in California & Storms Out of Interview

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213 - Ensemble of networks for improved accuracy in deep learning
![Build Your First Pytorch Model In Minutes! [Tutorial + Code]](https://i.ytimg.com/vi/tHL5STNJKag/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBI_EYTNRwLoP1r65YCNBGikSc87w)
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Build Your First Pytorch Model In Minutes! [Tutorial + Code]

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Train Your Brain to Never Forget (5 Feynman Habits)

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