Introduction to Attention-Based Neural Networks
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Janani Ravi
2:11:12
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01 - Prerequisites.mp4
00:54
02 - What are attention-based models.mp4
02:58
03 - Attention in language generation and translation models.mp4
03:06
01 - Feed forward networks and their limitations.mp4
05:17
02 - Recurrent neural networks for sequential data.mp4
05:33
03 - The need for long memory cells.mp4
05:00
04 - LSTM and GRU cells.mp4
05:04
05 - Types of RRNNS.mp4
03:40
01 - Language generation models.mp4
05:06
02 - Sequence to sequence models for language translation.mp4
04:36
01 - The role of attention in sequence to sequence models.mp4
04:53
02 - Attention mechanism in sequence to sequence models.mp4
06:21
03 - Alignment weights in attention models.mp4
02:25
04 - Bahdanau attention.mp4
03:28
05 - Attention models for image captioning.mp4
03:49
06 - Encoder decoder structure for image captioning.mp4
03:45
01 - Setting up Colab and Google Drive.mp4
04:07
02 - Loading in the Flickr8k dataset.mp4
03:41
03 - Constructing the vocabulary.mp4
04:37
04 - Setting up the dataset class.mp4
03:02
05 - Implementing utility functions for training data.mp4
05:12
06 - Building the encoder CNN.mp4
04:11
07 - Building the decoder RNN.mp4
05:42
08 - Setting up the sequence to sequence model.mp4
02:49
09 - Training the image captioning model.mp4
03:53
01 - Loading the dataset and setting up utility functions.mp4
03:36
02 - The encoder CNN generating unrolled feature maps.mp4
03:54
03 - Implementing Bahdanau attention.mp4
02:44
04 - The decoder RNN using attention.mp4
05:41
05 - Generating captions using attention.mp4
02:25
06 - Training the attention-based image captioning model.mp4
05:16
07 - Visualizing the model's attention.mp4
02:31
01 - Summary and next steps.mp4
01:56
Description
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.
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Janani Ravi
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Linkedin Learning
View courses Linkedin LearningLinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications.
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- language english
- Training sessions 33
- duration 2:11:12
- Release Date 2022/12/11
