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 –
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.
