Deep Learning Topics with Computer Vision and NLP

Course

In this course you will learn how to train, finetune and deploy deep learning models using Amazon SageMaker. You’ll begin by learning what deep learning is, where it is used, and the tools used by deep learning engineers. Next we will learn about artificial neurons and neural networks and how to train them. After that we will learn about advanced neural network architectures like Convolutional Neural Networks and BERT as well as how to finetune them for specific tasks. Finally, you will learn about Amazon SageMaker and you will take everything you learned and do them in SageMaker Studio.

Built in collaboration with

AWS

Intermediate

3 weeks

Real-world Projects

Completion Certificate

Last Updated April 30, 2024

Skills you'll learn:

Neural network basics • Deep learning fluency • Sagemaker jumpstart • Machine learning framework fundamentals

Prerequisites:

PyTorch • Deep learning

Course Lessons

Lesson 1

Introduction to Deep Learning Topics within Computer Vision and NLP

In this lesson, we will give a background around Deep Learning for Computer Vision and NLP and preparing you to be successful in the rest of this course.

Lesson 2

Introduction to Deep Learning

In this lesson, you will learn about neural networks, cost functions, optimization, and how to train a neural network.

Lesson 3

Common Model Architecture Types and Fine-Tuning

In this lesson you will learn about Model Architectures, Convolutions, and Fine-tuning.

Lesson 4

Deploy Deep Learning Models on SageMaker

In this lesson, you will learn how to apply all you have learned about deep learning in AWS SageMaker.

Lesson 5 • Project

Image Classification using AWS SageMaker

In this project, you will use AWS SageMaker to finetune a pretrained model and perform a image classification using profiling, debugging, and hyperparameter tuning.

Taught By The Best

Soham Chatterjee

GRADUATE STUDENT AT THE NANYANG TECHNOLOGICAL UNIVERSITY

Soham is an Intel® Software Innovator and a former Deep Learning Researcher at Saama Technologies. He is currently a Masters by Research student at NTU, Singapore. His research is on Edge Computing, IoT and Neuromorphic Hardware.

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Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

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Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.