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.

Why should one take Keras Professional Certification?

This 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.

Who will benefit from taking Keras Professional Certification?

Job seekers looking to find employment in data science or analysis departments of various companies, students generally wanting to improve their skill set and make their CV stronger and existing employees looking for a better role can prove their employers the value of their skills through this certification. 


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TABLE OF CONTENT




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
“Exam scheduling to be done through user account” / “Exam once scheduled cannot be cancelled”
Date of Examination
16-Nov-2019
17-Nov-2019
07-Dec-2019
08-Dec-2019
21-Dec-2019
22-Dec-2019
04-Jan-2020
05-Jan-2020
18-Jan-2020
19-Jan-2020
01-Feb-2020
02-Feb-2020
15-Feb-2020
16-Feb-2020
07-Mar-2020
08-Mar-2020
21-Mar-2020
22-Mar-2020
04-Apr-2020
05-Apr-2020
18-Apr-2020
19-Apr-2020
Examination Time
01:00 PM - 02:00 PM
02:30 PM - 03:30 PM
04:00 PM - 05:00 PM
05:30 PM - 06:30 PM
10:00 AM - 11:00 AM
11:30 AM - 12:30 PM

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Tags: Keras