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When a Neural Network is used for classification, we usually evaluate how well it fits the data with Cross Entropy. This StatQuest ...

In this video, we talk about the cross-entropy loss function, a measure of difference between predicted and actual probability ...

This video discusses the Cross Entropy Loss and provides an intuitive interpretation of the loss function through a simple ...

Entropy, Cross-Entropy and KL-Divergence are often used in Machine Learning, in particular for training classifiers. In this short ...

If you are training a binary classifier, chances are you are using binary cross-entropy / log loss as your loss function. Have you ...

Get 4 months extra on a 2 year plan here: https://nordvpn.com/artemkirsanov. It's risk free with Nord's 30 day money-back ...

This video is part of the Udacity course "Deep Learning". Watch the full course at https://www.udacity.com/course/ud730.

In this video, I've explained why binary cross-entropy loss is needed even though we have the mean squared error loss.

Entropy is a fundamental concept in Data Science because it shows up all over the place - from Decision Trees, to similarity ...

Hello everyone! In this video, we'll dive into an essential concept in machine learning and deep learning: the 'cross-entropy loss ...

In this lesson we will simplify the binary Log Loss/Cross Entropy Error Function and break it down to the very basic details.

Here is a step-by-step guide that shows you how to take the derivative of the Cross Entropy function for Neural Networks and then ...

New Tutorial series about Deep Learning with PyTorch! ⭐ Check out Tabnine, the FREE AI-powered code completion tool I use to ...

"**Sample-efficient Cross-Entropy Method for Real-time Planning** Cristina Pinneri (Max Planck Institute for Intelligent Systems)*; ...

Code generated in the video can be downloaded from here: https://github.com/bnsreenu/python_for_microscopists Cross-entropy ...

In this video I try to explain Binary Cross Entropy loss function - a function that is used widely in machine learning and mostly with ...

After a long time, finally, here's a topic which inherited in a lot of things, especially when it comes to generative modeling.

In this session, we dive into two of the most widely used loss functions in machine learning: Mean Squared Error (MSE) and Cross ...

Have you heard of cross-entropy loss, but are not sure exactly and intuitively what it is? Say you have an ML model for a ...

Full video list and slides: https://www.kamperh.com/data414/ Introduction to neural networks playlist: ...