Certificate in Deep Learning with PyTorch

How It Works

  1. 1. Select Certification & Register
  2. 2. Receive Online e-Learning Access (LMS)
  3. 3. Take exam online anywhere, anytime
  4. 4. Get certified & Increase Employability

Test Details

  • Duration: 60 minutes
  • No. of questions: 50
  • Maximum marks: 50, Passing marks: 25 (50%).
  • There is NO negative marking in this module.
  • Online exam.

Benefits of Certification


$49.00 /-
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PyTorch is grabbing the attention of all data science professionals due to its ease of use over other libraries and its use of dynamic computation graphs. Like Python, PyTorch has a clean and simple API, which makes building neural networks faster and easier. 

Note: Hard copy material is not applicable for this course.

Why should one take this certification?

In this course, you will learn how to accomplish useful tasks using Convolutional Neural Networks to process spatial data such as images and using Recurrent Neural Networks to process sequential data such as texts.

By the end of this course, you will be able to use PyTorch proficiently in your real-world projects.

Who will benefit from taking this certification?

Job seekers looking for employment in IT companies, IT departments of PSUs or MNCs, will find the certification of great help. Certification in Deep learning with Pytorch framework benefits Data Science professionals, students and professionals.

Deep Learning with PyTorch Table of Contents

https://www.vskills.in/certification/deep-learning-with-pytorch-table-of-content

Deep Learning with PyTorch Interview Questions

https://www.vskills.in/interview-questions/deep-learning-with-pytorch-interview-questions

Deep Learning with PyTorch Practice Test

https://www.vskills.in/practice/deep-learning-with-pytorch-questions

Companies that hire Deep Learning with PyTorch Professionals

IT companies, MNCs, Consultancies hire Pytorch professionals for Data Science related opportunities. Companies employing Data Science include Capgemini, JP Morgan Chase, TCS, Wipro, Zensar, Accenture etc.

Deep Learning with PyTorch Blogs

Checkout the latest online blogs on Deep Learning.

Deep Learning with PyTorch Jobs

Checkout the various job openings for Deep Learning with PyTorch, click here..

Deep Learning with PyTorch Internships

Vskills runs its flagship internship programme where bright interns work with academic council, click to know more details..

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TABLE OF CONTENT

Module 1

GETTING STARTED WITH PYTORCH

  • The Course Overview
  • Introduction to PyTorch
  • Installing PyTorch on Linux and Windows
  • Installing CUDA
  • Introduction to Tensors and Variables
  • Working with PyTorch and NumPy
  • Working with PyTorch and GPU
  • Handling Datasets in PyTorch
  • Deep Learning Using PyTorch

TRAINING YOUR FIRST NEURAL NETWORK

  • Building a Simple Neural Network
  • Loss Functions in PyTorch
  • Optimizers in PyTorch
  • Training the Neural Network
  • Saving and Loading a Trained Neural Network
  • Training the Neural Network on a GPU

COMPUTER VISION – CNN FOR DIGITS RECOGNITION

  • Computer Vision Motivation
  • Convolutional Neural Networks
  • The Convolution Operation
  • Concepts - Strides, Padding, and Pooling
  • Loading and Using MNIST Dataset
  • Building the Model
  • Training and Testing

SEQUENCE MODELS – RNN FOR TEXT GENERATION

  • Sequence Models Motivation
  • Word Embedding
  • Recurrent Neural Networks
  • Building a Text Generation Model in PyTorch
  • Training and Testing

AUTOENCODER - DENOISING IMAGES

  • Autoencoders Motivation
  • How Autoencoders Work
  • Types of Autoencoders
  • Building Denoising Autoencoder Using PyTorch
  • Training and Testing

REINFORCEMENT LEARNING – BALANCE CARTPOLE USING DQN

  • Reinforcement Learning Motivation
  • Reinforcement Learning Concepts
  • DQN, Experience Replay
  • The OpenAI Gym Environment
  • Building the Cartpole Agent Using DQN
  • Training and Testing

Module 2

FIRST STOP: A QUICK INTRODUCTION TO PYTORCH

  • The Course Overview
  • What Makes PyTorch Special?
  • Installing PyTorch

SLEEPING UNDER THE STARS: IT'S A BIRD...IT'S A PLANE...IT’S A CNN?

  • Problem: Detect a Specific Type of Object in an Image
  • Quick Win: Using a Pretrained AlexNet Model for Beaver Detection
  • Getting and Preparing Image Data
  • Building, Training, and Testing Your Model
  • Using Your Model to Detect Beavers and What’s Next?

GOING ABROAD: LANGUAGE DETECTION FOR FUN AND PROFIT WITH RNN

  • Problem: Recognize the Language of a Specific Text
  • Understanding and Preparing Language Data
  • Building, Training, and Testing Your Model for Language Detection
  • Using Your Model to Detect Languages and What’s Next?

MAKING FRIENDS: LOST IN TRANSLATION WITH LSTM

  • Problem: Translate a Specific Text from One Language to Another
  • Understanding and Preparing Dataset for Language Translation
  • Building, Training, and Testing Your Models for Language Translation
  • Using Your Models for Language Translation

GETTING SOME CULTURE: BECOMING A DEEP NEURAL PICASSO WITH DNN

  • Problem: Extract Key Style Features from One Image and Use It on Another One
  • Preparing Images for Style Transfer
  • Building and Training Style Transfer Model

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