Intermediate
Online
2 Months
Free
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
- Short term course of two months
- Self-paced type learning
- Free training from industry experts
- Intermediate level course
- 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
Type of course
Intro to Deep Learning with PyTorch course is a free course.
Intro to Deep Learning with PyTorch course fee structure
Course Name | Fees |
Intro to Deep Learning with PyTorch course | Free. |
certificate availability
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
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
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.
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
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
No. There is no programme fee. Intro to Deep Learning with PyTorch is a free training programme.
The educators for the Intro to Deep Learning with PyTorch programme are Matt Leonard, Soumith Chintala, Luis Serrano, Cezanne Camacho, and Alexis Cook.
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.
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.
The course duration for the Intro to Deep Learning with PyTorch is about two months. However, it is self-paced learning so that you can learn at your convenience.
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