Course 2 : Sequence Models, PTMs, Transfer Learning
Course Curriculum
Introduction to Sequential Models:
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Overview on Sequential models
11:20
Recurrent Neural Networks (RNNs)
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RNN Architecture
39:05 -
Behind the Scenes: RNN Hidden State Mechanics Explored
10:13 -
Behind the Scenes: Extracting Hidden States from Simple RNN’s
11:39 -
Exploring RNNs: Insight into Text Classification
04:51 -
Simple Text Classification with RNN and Keras
04:17 -
Text classification (Sentiment Analysis) on IMDB reviews using RNN
19:15 -
Exploring RNNs : Problems with Recurrent Neural Nets
12:41
Variants of RNN
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Bidirectional RNNs
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Stacked RNNs
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Long Short-Term Memory (LSTM), Architecture
39:15 -
Text classification IMDB – Using stacked LSTMs
00:00 -
Gated Recurrent units
Encoder-Decoder Architectures
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Architecture Overview
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Sequence-to-Sequence Tasks
Attention Mechanisms
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Attention Concept
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Self-Attention
Transfer Learning for Sequential Models
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Pre-trained Models
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Fine-tuning Strategies
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₹25,000
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LevelIntermediate
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Last UpdatedMarch 28, 2024
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