Caffe2, open-sourced by Facebook, is a simple, flexible framework for efficient deep learning. Certificate in Deep Learning with Caffe2 will teach you about Caffe2 and show you how to train your deep learning models. We can not neglect the fact that in an organization a certified professional is valued way more than any other professional. They are being paid more and they are trusted more with the work part which eventually lead them to promotions and higher designations quickly.
They are even deemed to be more efficient employees and have occupied the priority list of the organization. Well, getting a Certificate in Deep Learning with Caffe2 is indeed quite challenging task but not when you have the right set of resources. This article will guide you about the Certificate in Deep Learning with Caffe2 including all the details of the exam and the preparatory resources for the exam. So, let us get started!
Vskills Certificate in Deep Learning with Caffe2: Exam Overview
In this online course, you will learn the foundations of Deep Learning, understand how to build neural networks and develop an understanding of convolutional networks, RNNs, Adam, Dropout, BatchNorm and more.
You’ll be working on various projects throughout this online course with a focus on how to train and manipulate a deep neural network effectively. All these will be practiced in Caffe2 using Python programming languages.
Intended Audience
Job seekers looking for employment in various IT companies, PSUs or MNCs. Certification in Deep learning with Caffe framework benefits Data Science professionals, students and professionals across various Industries. IT companies, MNCs, Consultancies hire caffe professionals for Data Science related opportunities. Companies employing Data Science include Capgemini, JP Morgan Chase, TCS, Wipro, Zensar, Accenture, Infor etc.
Certification Process
- 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 Outline
This exam revolves around these following objectives –
Module 1
SETTING UP CAFFE2
- The Course Overview
- Set Up Caffe2 on Linux
- Understanding the Caffe2 Architecture
- Transitioning from Machine Learning to Deep Learning
- Running an Image Classifier Using Caffe2
IMPLEMENTING NEURAL NETWORKS AND DEEP LEARNING
- Learn about Matrices Using Python – NumPy
- Understanding and Implementing Logistic Regression and Neural Networks
- Understanding and Implementing Deep Neural Networks
UNDERSTANDING CAFFE2
- Caffe2 Introduction
- Caffe2 Python Wrapper
- Mathematical Operators in Caffe2
- Network Creators and Assisters in Caffe2 – Part 1
- Network Creators and Assisters in Caffe2 – Part 2
- Network Creators and Assisters in Caffe2 – Part 3
UNDERSTANDING A CONVOLUTIONAL NEURAL NETWORK
- How Machines Learn to See!
- Introduction to Convolutional Neural Networks
- Implement a Convolution Layer Using Caffe2
- Pooling Layer and Dropout in Caffe2
- Role of Activation Functions in Solving Non-Linear Optimization
IMPLEMENTING WEIGHT INITIALIZATION, OPTIMIZATION, AND REGULARIZATION
- Machine Learning Strategy
- How to Perform Data Selection, Preparation, and Processing
- Regularization of Neural Networks
- Optimizing Neural Networks
- Optimization Algorithms
INTRODUCTION TO RECURRENT NEURAL NETWORK
- Sequence Learning
- Introduction to Recurrent Neural Networks
- LSTMs – A Special Case of RNNs
- Learning about Word Embeddings
- Introduction to Augmented Recurrent Neural Networks
Module 2
GETTING STARTED WITH CAFFE2
- The Course Overview
- Why Deep Learning?
- Machine Learning Categories
- Why Caffe2?
- Install and Set Up Caffe2
- Build a Caffe2 Docker
BASIC ELEMENTS
- Definition of a Computational Graph Through Examples
- Introduce Workspace, Operators, and Nets
- Working with Computational Graphs
BUILDING BLOCKS OF A TRAINING MODEL
- Housing Price Prediction
- Representing a Linear Regression Model in a Computational Graph
- Training Procedure
- Training a Linear Regression Model
SUPERVISED LEARNING AND TRANSFER LEARNING
- Fashion Product Recognition Problem
- What Is Supervised Learning?
- What Is Transfer Learning?
- Model Zoo in Caffe2
- Fine-Tune a Model for Recognizing Fashion Products
SEQUENCE-TO-SEQUENCE LEARNING
- Chatbot Customer Service
- What Is Sequence-to-Sequence Learning?
- What Are RNNs and LSTMs?
- Training an RNN-Based Model to Write like Shakespeare
REINFORCEMENT LEARNING
- Why Deep Reinforcement Learning?
- What Is Deep Reinforcement Learning?
- What Is Deep Q-Network?
- Training a Deep Q- Network for Solving the Cart-Pole Problem
RUNNING AI IN YOUR HANDS
- AI on Mobile Devices Using Face ID
- Challenges in Running AI Models on Mobile Devices
- SequeezeNet
- Deploy SequeezeNet on a Mobile Device
Preparation Guide for Certificate in Deep Learning with Caffe2
There is no end to number of resources that can be used for preparation. You must be very careful while choosing the resources as this will determine how well will you be performing in the exam. let us look at handful of resources –
Step 1 – Review the Exam Objectives
Knowing about the objectives of the exam is very important as the whole exam is going to revolve around the objectives. The first and foremost thing before you start preparing is to get well versed with the objectives of the exam. This exam has different modules which will test your knowledge thoroughly in this domain and will make you job ready after you gain this certification. The main objectives of these certificate are –
- SETTING UP CAFFE2
- IMPLEMENTING NEURAL NETWORKS AND DEEP LEARNING
- UNDERSTANDING CAFFE2
- UNDERSTANDING A CONVOLUTIONAL NEURAL NETWORK
- IMPLEMENTING WEIGHT INITIALIZATION, OPTIMIZATION, AND REGULARIZATION
- INTRODUCTION TO RECURRENT NEURAL NETWORK
- GETTING STARTED WITH CAFFE2
- BASIC ELEMENTS
- BUILDING BLOCKS OF A TRAINING MODEL
- SUPERVISED LEARNING AND TRANSFER LEARNING
- SEQUENCE-TO-SEQUENCE LEARNING
- REINFORCEMENT LEARNING
- RUNNING AI IN YOUR HANDS
Refer – Certificate in Deep Learning with Caffe2 Brochure
Step 2 – Hitting the Books
You can find multiple books online or can refer to libraries and bookstores. There are even fantastic books online that can be very useful in preparation. Books are the best valued resources and first resource that comes to our mind when we thin of preparing for any exam. Some books that you can refer are –
- Deep Learning – Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville
- Machine Learning And Deep Learning Algorithms by Abhishek Kumar Pandey, Pramod Singh Rathore and Dr. Balamurugan
Step 3 – E-Learning and Study Materials
They are prepared by the experts of the subject matter and are reliable enough. 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 Caffe2 sample chapter
Step 4 – Evaluate yourself with Practice Tests
Make sure that you have practiced enough before taking the written exam. practicing more and more will help in identifying the weak portions and remove the loopholes in your preparation. This is the best way to judge how well you are prepared. You can try a free practice test now! Practicing more and more will even make you confident and you will feel less strange on the day of the examination.
