Keras is an open-source neural network library written in Python. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, Theano, or PlaidML. Designed to enable fast experimentation with deep neural networks, it focuses on being user-friendly, modular, and extensible. The Vskills Certified Keras Professional exam includes topics such as Multi-backend Keras and tf.keras, Guiding principles, Keras models, About Keras layers, etc.
Exam Overview
This Certified Keras Professional Course is intended for professionals and graduates wanting to excel in their chosen areas. It is also well suited for those who are already working and would like to take certification for further career progression. Earning Vskills Keras Professional Certification can help candidate differentiate in today’s competitive job market, broaden their employment opportunities by displaying their advanced skills, and result in higher earning potential.
Vskills being India’s largest certification provider gives candidates access to top exams as well as provides after exam benefits. This includes:
- Become Government Certified Professional!
- The Certification is valid for life.
- Candidates will get lifelong e-learning access.
- Access to free Practice Tests.
- Candidates will get tagged as ‘Vskills Certified’ On Monsterindia.com and ‘Vskills Certified’ On Shine Shine.com.
Exam Details
- Exam Duration: 60 minutes
- Vskills Exam Code: VS-1573
- Number of questions: 50
- Maximum marks: 50
- Passing marks: 25 (50%)
- Exam Mode: Online
- There is NO negative marking in this module.
Course Outline
Vskills Certified Keras Professional exam covers the following topics –
Keras Basics
- You have just found Keras.
- Multi-backend Keras and tf.keras
- Guiding principles
- Installation
- Configuring Keras backend
Using Keras
- Sequential model
- Functional API
Models
- About Keras models
- Sequential
- Model (functional API)
Layers
- About Keras layers
- Core Layers
- Convolutional Layers
- Pooling Layers
- Locally-connected Layers
- Recurrent Layers
- Embedding Layers
- Merge Layers
- Advanced Activations Layers
- Normalization Layers
- Noise layers
- Layer wrappers
- Writing your own Keras layers
Preprocessing
- Sequence Preprocessing
- Text Preprocessing
- Image Preprocessing
- Losses
- Metrics
- Optimizers
- Activations
- Callbacks
- Datasets
- Applications
- Backend
- Initializers
- Regularizers
- Constraints
- Visualization
- Scikit-learn API
- Utils
Preparation Guide for Vskills Certified Keras Professional
Candidates brewing for the Certified Keras Professional exam should recognize the importance of exam resources. During the exam preparation, it is important to get all the necessary exam study sources. This will provide the benefit to understand the concepts and meaning more precisely. In the preparation guide, we will review some of the most significant resources to help the candidate prepare well for the exam.
Review Exam Objectives
For every examination, the first task should be to get all the exam relevant details including the important contents and its topic. With complete exam objectives, the candidate’s exam preparation time is better spent because they already know what to study. For this exam, the topics include:
- Keras Basics
- Using Keras
- Models
- Layers
- Preprocessing
Vskills Online Learning Material
Vskills provides candidates a way to prepare for the exam using the online learning material for existence. The online material for this is regularly updated. Moreover, e-learning is bundled with hard copy material which encourages candidates to enhance and update the learning curve for superior and better opportunities. The candidate can also download the sample chapter for the Certified Keras Professional exam.
Books for Reference
The next step in the preparatory guide should be books and study guides. The candidate needs to find those books which are enriched with information. Finding a good book may be a difficult task, but in order to gather knowledge and skills, the candidate has to find, read, and understand. The candidate can try the following:
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurélien Géron
- Deep Learning with Keras: Implementing deep learning models and neural networks with the power of Python by Antonio Gulli and Sujit Pal
- Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more by Rowel Atienza
Evaluate yourself with Practice Test
Practice tests are the one who ensures the candidate about their preparation for the exam. The practice test will help the candidates to acknowledge their weak areas so that they can work on them. There are many practice tests available on the internet nowadays, so the candidate can choose which they want. Try the practice test here!
