ViewTube

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 ...

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 ...

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 ...

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

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

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

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

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

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

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

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

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

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

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

The Learning Problem - Introduction; supervised, unsupervised, and reinforcement learning. Components of the learning problem.

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

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