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Pytorch

PyTorch is an open source machine learning (ML) framework based on the Python programming language and the Torch library.


Duration : 25 hours

Fee: 398


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Date Time Type Attend
21st June 2025 8:00 AM   IST Demo
24th June 2025 8:00 AM   IST Regular
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+91 769-409-5404

Includes
  • 24 hours on-demand video
  • Articles
  • Coding Exercises
  • Full lifetime access
  • Certificate of Completion

Module of Training

LIVE ONLINE TRAINING


Live presentation of theory, demonstration of tool, features & tasks

We are connecting Online via Goto Meeting

Get practice environment for practical & hands-on Training curriculum has been designed by real-time industry professionals & real-time scenarios training pattern

CORPORATE TRAINING


Learn as per day-wise & customized schedule with discussions & lab exercises included

One to one or Batch-wise interactive demonstration of a tool, features and 100% practical classes

World-class learning material & case studies for the course

Completely customizable course content & schedule as per convenience

Certification guidance provided if necessary

Curriculum

Pytorch Download  

PyTorch Course Curricullam 

Module 1 : Introduction

  1. Introduction to Artificial Intelligence
  • History of AI
  • Applications od AI
  • AI in Computer Vision
  • AI Terminology
  • Why Deep Learning so popular
  1.  Numpy Refresher
  • Introduction to NumPy
  • Why do we need a special Library for Maths an DL
  • NumPy Basic Operations
  • Mathematical Functions
  • Reshape & Combine Array
  • Element-wise Operations
  • Linear Algebra
  • Array Statistics
  1. Introduction PyTorch
  • Why PyTorch
  • Introduction to PyTorch
  • PyTorch Basics
  1. What is inside an ML Algorithm
  • Machine Learning Pipeline
  • Solving ML Problems
  • Gradient Descent
  • Gradient Descent for Optimization

Module 2 : Neural Networks

  1. Feature Vectors 1-D to N-D
  • Feature Vectors and Normalization
  1. Neural Network Basics
  • What is Neural Network
  • Loss Functions for Regression
  • Loss Functions for Classification
  • Types of Activation Functions
  • How does the network learn
  • Demystifying Neural Networks
  1. Binary Classification using Perceptrons
  • Binary Classification using a Perceptron
  1. PyTorch NN Module
  • Introduction to pyTorch NN Module
  • PyTorch NN Module
  • MLP using Functional API
  • MLP using Sequential API
  1. Image Classification using Multilayer Perceptron
  • MLP Classifier for Handwritten Digits(MNIST)

 

Module 3 : Convolutional Neural Network

  1.  Convolution Operation
  • What is Convolution Operation
  • CNN Building Blocks
  • Layers in CNN
  1. Evaluation of Classification Performance
  • Perforamance Metrics for Classification
  • How to Implement Classification Metrics
  1. Introduction to Torchvision
  • TorchVision Overview
  • Datasets
  • What are the different Transforms used to Train a Network
  • Different Models in TorchVision
  • Utils: Utility Functions in TorchVision
  • IO Operations in TorchVision
  • Ops module in TorchVision
  1. Important CNN architectures
  • Different CNN Architecture
  • Pre-trained Models in Torchvision
  • Pre-trained Classification Models in TorchVision

Module 4 : Deep Neural Networks

  1.  Optimization
  • What are Optimizers
  • Learning Rate Decay Methods
  • LR Scheduler
  1. Training Deep Neural Networks
  • Step1: Data understanding
  • Step2: Data Preparation
  • Step3: Check Training Pipeline
  • Step4: Train the Model
  • Step5: Improve the Model
  • Check Training Pipeline
  1. Data Loader with Image Folder
  • How to load Custom Datasets in PyTorch

Module 5 : Best Practices in Deep Learning

  1. Troubleshooting Training with Tensorboard
  • Tensorboard Overview
  • Tensorboard Dashboard
  • Logging using Tensorboard
  • Sharing Tensorboard Logs
  1. Leveraging Pre-Trained models
  • CNN Architectures(Recap)

Who should Learn Pytorch?

PyTorch offers unparalleled advantages with its Python-based ecosystem, dynamic computation capabilities, and a strong focus on research and development.

 

Prerequisite to learn Pytorch

Python 3.6 or higher. You can install Python using the Python website, Homebrew, or the Anaconda package manager.

Delivery Methodology used to deliver the Pytorch

We are using an experiential delivering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course.

Class delivery

Live Interactive classes with expert

Pytorch FAQ

Question: Can I attend the Demo session before enrollment?

Answer: Yes, you may attend the Demo class before enrollment for training Quality Evaluation. You can also Interact with a trainer as one to one session for a specific requirement or discussion

Question: Can you schedule the training based upon my availability?

Answer: Yes, we need to discuss it with a trainer, accordingly, we can schedule training at a convenient time.

Question: How I can pay for the course?

Answer: You can pay the fee or enroll yourself via payment gateway through the course page, make an online payment using various options.

Question: What if I missed any class?

Answer: BISP has a missing class policy. If you missed any session, we will be sharing a recorded session. However, you may retake whole training multiple times within 6 month period but the trainer is the same.

Question: Is there any live project training along with regular training?

Answer: Our training curriculum includes real-time scenarios and lives project working module & the trainer explains every topic with examples. If you have any issue or you are stuck in any scenario the trainer will explain end-to-end.

Question: What about certification preparation and guidance?

Answer: BISP technical faculty assist & guide you completely for certification and preparation. We ensure you will get certified easily after our training.

Question: Who is the trainer & about his experience?

Answer: All our trainers are working professionals and industry experts with at least 10-12 years of relevant teaching experience. Each of them has gone through a rigorous selection process which includes profile screening, technical evaluation, and a training demo We also ensure that only those trainers with a high alumni rating continue to train for us.

Question: Do you provide Job support?

Answer: Yes, we provide Job support services, but the cost structure is different and fixed. For more details: Just give us a call at: +91 769-409-5404 & +1 678-701-4914 You can also write to us: support@bisptrainings.com

Question: What if I have more queries and doubts?

Answer: Just give us call at : +91 769-409-5404 & +1 678-701-4914 You can also write to us: support@bisptrainings.com

Question: How Fee Refund Policy works?

Answer: Please refer the link for refund policy: https://www.bisptrainings.com/Refund-Policy

Case Study and Learning Pdf's

Certificate

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Benefits of Certificate

Certification demonstrates your dedication, motivation and technical knowledge on a specific platform. Having a certification shows that you not only possess comprehensive knowledge of that technology but you also care enough about your own career to spend the time and money to get the certification.

We are welcoming our Students or professionals to participate in our professional online courses. We are offering great variety of online training programs and professional courses that you can always find as desired. After the completion of training program they will receive a certificate from BISP. As a Certified professional you can apply that knowledge in your future profession and enjoy with better salaries & career prospects.

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