Introduction to Attention-Based Neural Networks

0

1

2

3

4

5

Posted on 24 Oct 13:15 | by mitsumi | 11 views

Attention-based models allow neural networks to focus on the most important features of the input, thus producing better results at the output. In this course, Janani Ravi explains how recurrent neural networks work and builds and trains two image captioning models one without attention and another using attention models and compares their results. If you have some experience and understanding of how neural networks work and want to see what attention-based models can do for you, check out this course.

Download link

rapidgator.net:

https://rapidgator.net/file/26780da301e800ec8e6875c842fcae65/hfuiu.Introduction.to.AttentionBased.Neural.Networks.rar.html

uploadgig.com:

https://uploadgig.com/file/download/54f9d2119df1b5f3/hfuiu.Introduction.to.AttentionBased.Neural.Networks.rar

[/b]:

[b]1dl.net:

https://1dl.net/antc97l4qrk7/hfuiu.Introduction.to.AttentionBased.Neural.Networks.rar.html