Ementorhub

What you'll learn

Develop a strong foundation in deep learning for image analysis

Retrain common models like GoogLeNet and ResNet for specific applications

Investigate model behavior to identify errors, determine potential fixes, and improve model performance

Complete a real-world project to practice the entire deep learning workflow

Skills you'll gain

Artificial Intelligence and Machine Learning (AI/ML)

Data Processing

Deep Learning

Classification And Regression Tree (CART)

Performance Tuning

Applied Machine Learning

Computer Vision

Image Analysis

Machine Learning Methods

Predictive Modeling

Matlab

Artificial Neural Networks

There are 4 modules in this course

By the end of this course, you will be able to: • Explain how deep learning networks find image features and make predictions • Retrain common models like GoogLeNet and ResNet for specific applications • Investigate model behavior to identify errors and determine potential fixes • Improve model performance by tuning hyperparameters • Complete the entire deep learning workflow in a final project For the duration of the course, you will have free access to MATLAB, software used by top employers worldwide. The courses draw on the applications using MATLAB, so you spend less time coding and more time applying deep learning concepts.

Transfer Learning

Investigating Network Behavior

Final Project: Classifying the ASL Alphabet