Certificate in Deep Learning with Keras

Certifications have now become way more important than anyone think they could be. Keras is an open source neural network library written in Python. It is capable of running on top of MXNet, Deeplearning4j, Tensorflow, CNTK, or Theano. Designed to enable fast experimentation with deep neural networks, it focuses on being minimal, modular, and extensible. The IT industry, especially companies like Amazon, Google, Oracle etc. demand certified professionals for the organization for their organizations.

Merely, getting the certifications is not enough. You should aim to get complete conceptual understanding along with the practical application of the certification content. Just cramming the portion can fetch you good marks but not the salary as high as you deserve to get. The certifications not only help you in getting a good job, but also builds self confidence and quality in your work. Let us get into details of this certificate.

Roles and Responsibilities

A Certificate in Deep Learning with Keras makes you responsible to enable fast experimentation with deep neural networks, it focuses on being minimal, modular, and extensible.

Why to take Deep Learning with Keras Certification?

This Course is intended for Individuals wanting to understand a deeper level of deep learning using Keras. The course provides you a comprehensive introduction to deep learning, you will also be trained on neural networks and optimization techniques.

Earning Vskills Deep Learning with Keras Certificationcan help candidate differentiate in today’s competitive job market, broaden their employment opportunities by displaying their advanced skills, and result in higher earning potential.

Intended Audience

IT specialists aspiring to learn a new skill set; statisticians; computer scientists; and IT analysts etc.

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 Outline

This certification has the following objectives –

Module 1

NEURAL NETWORKS FOUNDATIONS

The Course Overview
Perceptron
Building a Network to Recognize Handwritten Numbers
Playing Around with the Parameters to Improve Performance

KERAS INSTALLATION AND API

Installing and Configuring Keras
Keras API
Callbacks for Customizing the Training Process

DEEP LEARNING WITH CONVOLUTIONAL NETWORKS

Deep Convolutional Neural Network – DCNN
Recognizing CIFAR-10 Images with Deep Learning

Module 2

INTRODUCTION TO DEEP LEARNING

The Course Overview
What is Deep Learning?
Machine Learning Concepts
Foundations of Neural Networks
Optimization

GET STARTED WITH KERAS

Configuration of Keras
Presentation of Keras and Its API
Design and Train Deep Neural Networks
Regularization in Deep Learning

CONVOLUTIONAL AND RECURRENT NEURAL NETWORKS

Introduction to Computer Vision
Convolutional Networks
CNN Architectures
Image Classification Example
Image Segmentation Example
Introduction to Recurrent Networks
Recurrent Neural Networks
“One to Many” Architecture
“Many to One” Architecture
“Many to Many” Architecture
Embedding Layers

RECOMMENDER SYSTEMS

What are Recommender Systems?
Content/Item Based Filtering
Collaborative Filtering
Hybrid System

NEURAL STYLE TRANSFER

Introduction to Neural Style Transfer
Single Style Transfer
Advanced Techniques
Style Transfer Explained

ADVANCED TECHNIQUES

Data Augmentation
Transfer Learning
Hyper-Parameter Search
Natural Language Processing

GENERATIVE ADVERSARIAL NETWORKS

An Introduction to Generative Adversarial Networks (GAN)
Run Our First GAN
Deep Convolutional Generative Adversarial Networks (DCGAN)
Techniques to Improve GANs

Preparation Guide for Certificate in Deep Learning with Keras

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 Keras 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 exam has following objectives –

NEURAL NETWORKS FOUNDATIONS
KERAS INSTALLATION AND API
DEEP LEARNING WITH CONVOLUTIONAL NETWORKS
INTRODUCTION TO DEEP LEARNING
GET STARTED WITH KERAS
CONVOLUTIONAL AND RECURRENT NEURAL NETWORKS
RECOMMENDER SYSTEMS
NEURAL STYLE TRANSFER
ADVANCED TECHNIQUES
GENERATIVE ADVERSARIAL NETWORKS

Refer – Certificate in Deep Learning with Keras 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 With Keras
Keras Deep Learning Cookbook

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 Keras 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.