Home Courses Human Activity Recognition using smartphones Exercise: Build deeper LSTM models and hyper-param tune them

Exercise: Build deeper LSTM models and hyper-param tune them

Instructor: Applied AI Course Duration: 3 mins

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Deep-learning Model.

Human Activity Recognition

1.1

Human Activity Recognition Problem definition

9 min

1.2

Dataset understanding

22 min

1.3

Data cleaning & preprocessing

4 min

1.4

EDA:Univariate analysis.

5 min

1.5

EDA:Data visualization using t-SNE

5 min

1.6

Classical ML models.

13 min

1.7

Deep-learning Model.

15 min

1.8

Exercise: Build deeper LSTM models and hyper-param tune them

3 min