PyTorch Course Online | PyTorch Certification -Qtsinfo

Course Overview

PyTorch online course has been designed for those students who can learn the concepts at a fast pace. We will provide in-depth knowledge with the help of different PyTorch examples. We will also provide PyTorch tutorial in which you will learn different concepts like how to install PyTorch.

You will also learn the process of configuring PyTorch. First the instructors will tell you about what is PyTorch and then they will gradually move towards basic and then to advanced topics.

PyTorch Certification Key features

Learn the concept of PyTorch GitHub
Get a certificate after completing PyTorch certification
Know the details of the PyTorch data loader
Learn how to Install PyTorch
Understand the concept of PyTorch lightning
Use mock test sessions to know about the types of questions that you will face in the real exam
Demo classes will also be provided before starting the course

Who should take PyTorch Online Course?

People who will be benefitted from this course can be experienced professionals. Freshers can also join the course. The candidates should have basic knowledge of Python and they should also know about using NumPy, Matplotlib, along with other libraries.

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Course curriculum / Syllabus

Classification

How to define Softmax Regression?
How to use Softmax in PyTorch Regression?
Training Softmax in PyTorch Regression

Neural Networks

Networks overview
Network Shape Depth vs Width
Concept of Back Propagation
Concept of Activation functions

Deep Networks

Understand the concept of Dropout
What is Initialization?
Batch normalization concepts
Other optimization methods

Computer Vision Networks

Understand the concept of Convolution
Define Max Polling
Know about Convolutional Networks
What are Pre-trained Networks?

Dimensionality reduction and autoencoders

Principle component analysis
Concept of Linear autoencoders
Concept of Autoencoders
Concept of Transfer learning
Concept of Deep Autoencoders

Independent Project

Independent Project

pytorch FAQ’s:

1.Will you teach the concept of deep learning?

Yes! Deep learning concepts will be included in the course.

2.Will we get any exercises regarding coding?

Yes! We will teach you the concept of coding and you will also be given practical exercises.

3.Which Python libraries will be included in the course?

The Python libraries that will be included in the course are

NumPy
PyTorch
Matplotlib

These are a few libraries. Besides these, other libraries will also be taught top you.

4.How will practical classes be arranged?

We will provide you the required software and access to server so that you can perform your practicals easily.

5.What can I do in the case of missed classes?

A video recording for each lecture will be available with us. We will provide you all those videos so that you can learn the concepts taught during missed classes.

6.Why QTSInfo?

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