Getting Started with Embedded AI | Edge AI
- Offered byUDEMY
Getting Started with Embedded AI | Edge AI at UDEMY Overview
Duration | 4 hours |
Total fee | ₹649 |
Mode of learning | Online |
Credential | Certificate |
Getting Started with Embedded AI | Edge AI at UDEMY Highlights
- Earn a certificate of completion from Udemy
- Learn from 6 downloadable resources
- Get full lifetime access of the course material
- Comes with 30 days money back guarantee
Getting Started with Embedded AI | Edge AI at UDEMY Course details
- For Embedded AI Explorer
- For Embedded Enthusiast
- For Engineers
- For Artificial Intelligence/Deep learning Enthusiast
- For M-Tech/PhD Students
- Learn basic concept behind AI/DL
- Learn how to use KERAS deep learning library in python?
- Learn how to capture and label data from sensors via Microcontroller
- Learn to create a Neural network and how to train them on data
- We have created an application to recognize the fault of a motor based on the vibration pattern
- We have created detailed videos with animation to give our students an engaging experience while learning this stunning technology
- We have divided this course into Conceptual Learning and Practical Learning
- You can either jump directly to the Practical videos to keep the motivation to learn and later can go to fundamental concepts
- Or you can start with the basic concepts first then can start building the application
Getting Started with Embedded AI | Edge AI at UDEMY Curriculum
Introduction to Embedded AI
What is an Artificial Intelligence?
What is Machine Learning?
What is Deep Learning?
What is an Embedded/Edge AI?
Applications of Embedded AI
Tools used and Installation
Overview of the Tools used
What is Tensorflow?
What is Keras?
Comparison between Keras and Tensorflow
Installation of Keras and Tensorflow
What is STM32 and X-CUBE AI
Development Board used
Basic Concept of AI and Deep learning
What is Supervised Learning?
What is Unsupervised Learning?
Artificial Neuron Vs Real Neuron
What is an Artificial Neural Network?
What are layers and Forward propagation in NN
What is an Activation Function?
What is Gradient and Gradient Descent?
Optimization Algorithm and Loss function
How a Neural Network Learns?
The Concept of Loss functions in detail
The process of training and testing a NN
Why Overfitting occurs in NN and How to avoid it?
Why Underfitting occurs in NN and How to avoid it?
Hyperparameter of NN -> Learning Rate
What is Batch and Batch size of a Training samples?
Transfer Learning and Fine tuning Hyperparametrs in NN
What is Convolution?
What is a Convolution Layer in NN?
What is Max Pooling Layer?
What is Dropout layer?
One Hot Encoding of Output Classes or Labels
What is Confusion Matrix?
Difference between with or without normalization Confusion matrix
Introduction To Python and Python Packages used
Introduction To Python and Writing first Program
Inroduction to Numpy Package
Introduction to Pandas Package
Introduction to Matplotlib
Building Practical Application
Key Steps for the implementation of Edge AI
Data Capturing from sensors
Accelerometer Sensor Module
C code to capture data from Accelerometer
Python Script to Collect and Save Data in Binary file
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