Certificate in Deep Learning with Caffe2

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
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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 –

Certificate in Deep Learning with Caffe2 study guide

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.