Udacity Accenture logo
Log InJoin for Free

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.

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

4 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

Photo of Soham Chatterjee

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.

The Udacity Difference

Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.

Demonstrate proficiency with practical projects

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.

  • Gain proven experience

  • Retain knowledge longer

  • Apply new skills immediately

Top-tier services to ensure learner success

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

  • Get help from subject matter experts

  • Learn industry best practices

  • Gain valuable insights and improve your skills

Unlock access to Deep Learning Topics with Computer Vision and NLP and the rest of our best-in-class catalog

  • Unlimited access to our top-rated courses

  • Real-world projects

  • Personalized project reviews

  • Program certificates

  • Proven career outcomes

Full Catalog Access

One subscription opens up this course and our entire catalog of projects and skills.

Month-To-Month

4 Months

Average time to complete a Nanodegree program

*Discount applies to the first 4 months of membership, after which plans are converted to month-to-month.

Your subscription also includes:

Get Started Today

Deep Learning Topics with Computer Vision and NLP

Month-To-Month


  • Unlimited access to our top-rated courses
  • Real-world projects
  • Personalized project reviews
  • Program certificates
  • Proven career outcomes

4 Months

Average time to complete a Nanodegree program

  • All the same great benefits in our month-to-month plan
  • Most cost-effective way to acquire a new set of skills
Discount applies to the first 4 months of membership, after which plans are converted to month-to-month.
Udacity Accenture logo
Company
  • Facebook
  • Twitter
  • LinkedIn
  • Instagram

© 2011-2024 Udacity, Inc. "Nanodegree" is a registered trademark of Udacity. © 2011-2024 Udacity, Inc.
We use cookies and other data collection technologies to provide the best experience for our customers.