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Certificate Online

Deep Learning Topics with Computer Vision and NLP Udacity

Highlights
Tuition fee
Unknown
Tuition fee
Unknown
Duration
2 days
Duration
2 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

Throughout this Deep Learning Topics with Computer Vision and NLP course from Udacity you will learn how to train, finetune and deploy deep learning models using Amazon SageMaker.

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
In this lesson you will learn about Model Architectures, Convolutions, and Fine-tuning.
  • Deep Learning
In this lesson, you will learn about neural networks, cost functions, optimization, and how to train a neural network.
  • 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.
  • 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

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

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
You will also need to be able to communicate fluently and professionally in written and spoken English.

Tuition Fees

Additional Details

  • This program can be paid for with the Udacity subscription.

Funding

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