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

Hey everyone! In this video, I dive into the intricacies of neural networks using TensorFlowJS. I start by addressing a previously ...

Description In this video I review my favorite deep learning book. I like that it covers advanced topics in deep learning and also ...

Week 06, Video 04: Basics of Neural Networks. Copyrighted images used under "fair use" for teaching (Section 107 of the U.S. ...

This is an introduction video to the world of Homobits. Homobits is a project developed to help users understand Neural Network ...

timing : introduction : 0:00 review on neural network terminology: 2:11 playground : 4:02 ...

Convolutions help neural networks understand the structure of a problem, making it easier to solve. We learn how to apply a ...

Today we'll learn about the extraordinarily powerful and widely useful technique of generative models. These are models that ...

1:10:33 - The first neural network - Mark I Perceptron (1957) 1:12:38 - Machine learning models at a high level 1:18:27 ...

Hooks can go on each module of a neural network to spy on the black box and whisper its secrets to you. No neural net will keep ...

In this video, we will create a neural network for learning word embeddings that approximates an algorithm known as word2vec ...

EXOTIC CNN ARCHITECTURES; RNN FROM SCRATCH This is the last lesson of part 1 of Practical Deep Learning For Coders!

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

Introduction to creating a network in pytorch, part 1: Create simple feedforward network, print the output Code: ...

We asked in the last lesson whether “Memory Networks” lives up to the publicity it received when it came out, and came to the ...

In this video, we will train a neural network to predict which words tend to co-occur with each other. We then extract vector ...

00:00:00 - Using Huggingface 00:03:24 - Finetuning pretrained model 00:05:14 - ULMFit 00:09:15 - Transformer 00:10:52 - Zeiler ...

In this work, we present a graph neural network model that predicts types by probabilistically reasoning over a program's structure, ...

We've covered a lot of different architectures, training algorithms, and all kinds of other CNN tricks during this course—so you ...