Home Courses Applied Machine Learning Online Course Building a Smart Gym Assistant from scratch- Part 1

Building a Smart Gym Assistant from scratch- Part 1

Instructor: Applied AI Course Duration: 130 mins

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Deployment using Flask APIs, Docker and ElasticSearch
Building a Smart Gym Assistant from scratch- Part II
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
2.1
Self Driving Car :Problem definition.

14 min
2.2
Datasets.
9 min
2.3
Data understanding & Analysis :Files and folders.
5 min
2.4
Dash-cam images and steering angles.
6 min
2.5
Split the dataset: Train vs Test
3 min
2.6
EDA: Steering angles
6 min
2.7
Mean Baseline model: simple
5 min
2.8
Deep-learning model:Deep Learning for regression: CNN, CNN+RNN
10 min
2.9
Batch load the dataset.
6 min
2.10
NVIDIA’s end to end CNN model.
18 min
2.11
Train the model.
13 min
2.12
Test and visualize the output.
11 min
2.13
Extensions.
5 min
3.1
Real-world problem
15 min
3.2
Music representation
18 min
3.3
Char-RNN with abc-notation :Char-RNN model
23 min
3.4
Char-RNN with abc-notation :Data preparation.
41 min
3.5
Char-RNN with abc-notation:Many to Many RNN ,TimeDistributed-Dense layer
18 min
3.6
Char-RNN with abc-notation : State full RNN
12 min
3.7
Char-RNN with abc-notation :Model architecture,Model training.
13 min
3.8
Char-RNN with abc-notation :Music generation.
11 min
3.9
Char-RNN with abc-notation :Generate tabla music
3 min
3.10
MIDI music generation.
4 min
3.11
Survey blog:
5 min
4.1
High Level Design of the Solution

4.2
Sentence Vectors and Docker Containerisation

4.3
Indexing using ElasticSearch

4.4
Deployment using Flask APIs, Docker and ElasticSearch

6.1
Revision Questions
30 min
6.2
External resources for Interview Questions
30 min
7.1
High-level design of a self driving system

7.2
Music Recommendation System
7.3
Speaker identification using audio + Siamese Networks
7.4
Data Quality and Verification @ Uber, Netflix and Amazon
7.5
Data Quality and Verification @ Uber, Netflix and Amazon -- Part-2