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Go to https://course.fast.ai for code, notebooks, quizzes, etc. This course is designed for people with some coding experience who ...

All lesson resources are available at http://course.fast.ai.) In this lesson, we dive into the implementation of the chain rule in neural ...

All lesson resources are available at http://course.fast.ai.) In this lesson, we dive into backpropagation and the creation of a simple ...

All lesson resources are available at http://course.fast.ai.) We start with a dive into convolutional autoencoders and explore the ...

RubyConf 2016 - Dōmo arigatō, Mr. Roboto: Machine Learning with Ruby by Eric Weinstein Machine learning is a popular and ...

All lesson resources are available at http://course.fast.ai.) In this lesson, we discuss various techniques and experiments shared ...

Pattern Recognition by Prof. C.A. Murthy & Prof. Sukhendu Das,Department of Computer Science and Engineering,IIT Madras.

I'm never doing hand-typed captions ever again. This is a recording of the workshop I did for IEEE's Student Chapter at USF ...

Mamba is a new neural network architecture that came out this year, and it performs better than transformers at language ...

Machine learning accounts for considerable global electricity demand and resulting environmental impact, as training a large ...

This talk was presented at PyCon India 2019, on Oct 12th - 13th, at the Chennai Trade Centre. Website: https://in.pycon.org/2019.

Training versus Testing - The difference between training and testing in mathematical terms. What makes a learning model able to ...

Epilogue - The map of machine learning. Brief views of Bayesian learning and aggregation methods. Lecture 18 of 18 of Caltech's ...

The VC Dimension - A measure of what it takes a model to learn. Relationship to the number of parameters and degrees of ...

More Data Mining with Weka: online course from the University of Waikato Class 5 - Lesson 2: Multilayer Perceptrons ...

Course website: https://bit.ly/DLSP20-web Playlist: http://bit.ly/pDL-YouTube Speaker: Yann LeCun Week 1: ...

Lecture 2 of the project to implement a small neural network on an FPGA. We select training data and train the neural network.

A brief introduction to the Arena3D web tool for 3D visualization of multilayer networks. I first explain how multilayer networks can ...

Overfitting - Fitting the data too well; fitting the noise. Deterministic noise versus stochastic noise. Lecture 11 of 18 of Caltech's ...

Kernel Methods - Extending SVM to infinite-dimensional spaces using the kernel trick, and to non-separable data using soft ...