PyTorch

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PyTorch

Rs.4,237.29

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SKU: cid_226528 Category:
Target Audience

The course can be taken by:

Students: All students who are pursuing professional graduate/post-graduate courses related to computer science or Information Technology.

Teachers/Faculties: All computer science and engineering teachers/faculties.

Professionals: All IT professionals, who wish to acquire new skills or improve their existing skills.

Course Features

24X7 Access: You can view lectures at your own convenience.

Online lectures: Online recorded lectures with high-quality videos.

Updated Quality content: Content is the latest and gets updated regularly to meet the current industry demands.

Test & Evaluation

1. During the program, the participants will have to take all the assignments given to them for better learning.

2. At the end of the program, a final assessment will be conducted.

Certification

1. All successful participants will be provided with a certificate of completion.

2. Students who do not complete the course / leave it midway will not be awarded any certificate.

Basic knowledge of any programming language will be helpful

Topics to be covered

Introduction to Pytorch

  • What is Pytorch?
  • How to install Pytorch?
  • Basics of Pytorch
  • Tensor operations

Pytorch fundamentals

  • Variables
  • Gradients

Linear Regression

  • Introduction
  • Loss function
  • Implementing Linear Regression with PyTorch

Logistic Regression

  • Introduction
  • Sigmoid and Softmax functions
  • log-loss function
  • Implementing Logistic Regression with PyTorch

Neural Network with Pytorch

  • Introduction to Neural Network
  • Multiple layer Neural Network
  • Feed Forward Process
  • Backpropagation Process
  • Build a Neural Network

Image classification:Convolutional Neural Network(CNN)

  • Introduction
  • CNN Architecture
  • Layers in CNN
  • MNIST Dataset
  • CNN Implementation
  • Pre-trained CNN models in Pytorch

Recurrent Neural Networks(RNN)

  • Introduction to RNN
  • RNN in Pytorch
  • More RNN Models in Pytorch
  • Building a text classifier using RNN

For inquiry call:  8953463074

Online Live Training Program 2023