Overview
Through the Deep Learning Topics with Computer Vision and NLP course from Udacity 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.
Key facts:
- 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.
Programme Structure
Courses include:
- Common Model Architecture Types and Fine-Tuning
- Deep Learning
- Deploy Deep Learning Models on SageMaker
- 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.
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Computer Sciences View 523 other Short Courses in Computer Sciences in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prior to enrolling, you should have the following knowledge:
- PyTorch
- Deep learning
Tuition Fees
Additional Details
- This program can be paid for with the Udacity subscription.