Certifications are one way to prove to skill and expertise in front of your superiors. Certificate in Deep Learning with PyTorch can help you getting the spotlight among other employees. The concept of survival of fittest has started ruling the corporate sector so, now you have to prove your excellence to secure your position.
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. Certifications also help to prove your dedication and commitment towards your aim and profession. IT sector has never ceased to offer jobs to people who fulfil the requirements. And certified professionals have never ceased to be in demand. The more certificates you have, the more you will be preferred by the companies.
Roles and Responsibilities
A person with Certificate in Deep Learning with PyTorch is responsible for accomplishing 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.
Why to 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.
Intended Audience
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.
How It Works
- Select Certification & Register
- Receive a.) Online e Learning Access (LMS) b.) Hard copy – study material
- Take exam online anywhere, anytime
- 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
- Government certification
- Certification valid for life
- Lifelong e-learning access
- Free Practice Tests
- Get tagged as ‘Vskills Certified’ On Monsterindia.com
- Get tagged as ‘Vskills Certified’ On
Shine.com
Content Details
This exam has following objectives –
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
Preparation Guide for Certificate in Deep Learning with PyTorch
There are numerous resources that can be used for preparation. But cracking the certification becomes difficult when the set of resources chosen is not apt. You should be very careful while choosing the resources as they will determine actually how well you will pass the exam. let us have a look at handful of resources.
Step 1 – Review the Exam Objectives
The first and foremost thing before you start preparing is to get well versed with the objectives of the exam. Knowing in detail about the exam objectives will let you understand the way through which you will prepare for the exam and then help to pass that with the flying colors. The exam revolves around the following objectives –
- GETTING STARTED WITH PYTORCH
- TRAINING YOUR FIRST NEURAL NETWORK
- COMPUTER VISION – CNN FOR DIGITS RECOGNITION
- SEQUENCE MODELS – RNN FOR TEXT GENERATION
- AUTOENCODER – DENOISING IMAGES
- REINFORCEMENT LEARNING – BALANCE CARTPOLE USING DQN
- FIRST STOP: A QUICK INTRODUCTION TO PYTORCH
- SLEEPING UNDER THE STARS: IT’S A BIRD…IT’S A PLANE…IT’S A CNN?
- GOING ABROAD: LANGUAGE DETECTION FOR FUN AND PROFIT WITH RNN
- MAKING FRIENDS: LOST IN TRANSLATION WITH LSTM
- GETTING SOME CULTURE: BECOMING A DEEP NEURAL PICASSO WITH DNN
Refer – Certificate in Deep Learning with PyTorch brochure
Step 2 – Hitting the books
You can refer to as many books as you want and can get them from bookstores or libraries. Books are the most valuable and reliable source for collecting the information relating to the theoretical concepts of the syllabus. Make sure that the books you select has all the necessary concepts that will be asked in the exam. also, the book should offer maximum practice exercises that will help to understand better and learn the things for a long time. Some books that you can refer are –
- Deep Learning With Pytorch
- Pytorch Deep Learning Hands-on
Step 3 – E-Learning and Study Materials
Learning for the exam can be fun if you have right set of resources matching your way of studying. Vskills offers you its E-Learning Study Material to supplement your learning experience and exam preparation. This online learning material is available for lifetime and is updated regularly. You can also get the hardcopy for this material, so, you can prefer either way in which you are comfortable.
Refer – Certificate in Deep Learning with PyTorch Sample Chapter
Step 4 – Evaluate yourself with Practice Tests
Practices makes a man perfect. You can also find the problems you are facing in your strategy. We all are quite well versed with this saying and also with the truth in this. Practice papers and test series help you in identifying the loopholes in the preparation. Practicing as much as you can will help in identifying various parts of the syllabus that need more attention and that are fully prepared. This is the best way to know your level of preparation. Start practicing now!
