Intro to Deep Learning with PyTorch

BY
Facebook via Udacity

Want to learn how to implement deep neural networks using Python? Enrol into Udacity’s Intro to Deep Learning with PyTorch online programme and find out.

Mode

Online

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based

Course overview

There is no doubt that the AI revolution is being driven by deep learning. Machine learning and AI are gaining popularity as it helps make data-driven business decisions. With a deep understanding of AI & ML, you can take your business to an all-new level.  PyTorch makes it convenient to build applications used for deep learning. The programme will teach you how to build and train deep neural networks using Pytorch. This practical experience would hone your skills to use them in your personal projects. 

Intro to Deep Learning with PyTorch online course explores how to use PyTorch using coding exercises and projects. This will help you implement state-of-the-art AI applications such as text generation and style transfer.  This is a free course that offers instructional videos, interactive quizzes, and self-paced learning. 

Intro to Deep Learning with PyTorch takes about two weeks to complete. This is an intermediate-level course and requires a working knowledge of Python and its libraries Matplotlib and NumPy. The industry experts for this course are a panel of five educators: Matt Leonard, Soumith Chintala, Luis Serrano, Cezanne Camacho, and Alexis Cook. 

The highlights

  • Self-paced type learning
  • Free training from industry experts
  • Quizzes and high-quality content

Program offerings

  • Self-paced
  • Intermediate level course
  • Two months course
  • High-quality video lessons
  • Free training
  • Quizzes
  • Industry experts

Course and certificate fees

certificate availability

No

Eligibility criteria

Intro to Deep Learning with PyTorch online training assumes that you are comfortable working with Python and its data processing libraries, namely NumPy and Matplotlib.  Also, a basic understanding of calculus and linear algebra would be beneficial. However, it is not compulsory. 

What you will learn

Knowledge of deep learning

Intro to Deep Learning with PyTorch syllabus will make you proficient in:

  • Deep learning using PyTorch
  • Style transfer
  • How to recurrent neural networks 
  • Natural language classification
  • Deploying deep learning models using PyTorch

The syllabus

Lesson 1: Introduction to Deep Learning

Lesson 2: Introduction to PyTorch

Lesson 3: Deep Learning with PyTorch

Lesson 4: Convolutional Neural Networks

Lesson 5: Style Transfer

Lesson 6: Recurrent Neural Networks

Lesson 7: Natural Language Classification

Lesson 8: Deploying with PyTorch

Admission details

  • Intro to Deep Learning with PyTorch course admission begins on the web course link.
  • Click on the ‘Start Free Course’ and sign in with your Udacity account. Create one if you don’t have it on the sign-up sheet. Once you have signed in, you can begin the training. 

Filling the form

Intro to Deep Learning with PyTorch training course needs a profile account with Udacity to secure your admission. For this, you need to provide your first and last name and your email ID. Then, create a password as per the website requirements. Your application will be completed and accepted.    

Scholarship Details

Udacity offers a number of scholarships for their courses. You can check out the  Intro to Deep Learning with PyTorch training course page to find out more details.   

How it helps

Intro to Deep Learning with PyTorch training is a free course where you can learn from industry experts. It has interactive quizzes to help you evaluate your progress. AI is a fast-growing technology with applications in almost every industry. With the knowledge you gain, your chances of gaining favourable employment will increase further. 

Instructors

Mr Luis Serrano
Instructor
Freelancer

Ph.D

Ms Alexis Cook
Instructor
Freelancer

Other Masters

Ms Cezanne Camacho
Instructor
Freelancer

M.S, Other Masters

Mr Mat Leonard
Instructor
Freelancer

Ph.D

FAQs

Do I need to pay any fee to join the Intro to Deep Learning with PyTorch programme?

No. There is no programme fee. Intro to Deep Learning with PyTorch is a free training programme.  

Who are the Intro to Deep Learning with PyTorch programme educators?

The educators for the Intro to Deep Learning with PyTorch programme are Matt Leonard, Soumith Chintala, Luis Serrano, Cezanne Camacho, and Alexis Cook. 

Can I enrol on the Intro to Deep Learning with PyTorch right away?

Yes. Enrolment for the Intro to Deep Learning with PyTorch is open right now. Visit the course page, sign in with your account and click on ‘Start Free Course’ to begin. 

Do I need any prior experience or training to join the Intro to Deep Learning with PyTorch course?

Yes. You need to be comfortable working with Python and its libraries Matplotlib and NumPy. A basic understanding of calculus and linear algebra will also be great, but it is not compulsory.

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