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Keras Training For Data Scientists - United Kingdom

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Duration: 1 Days*

Support: 24/7

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  • Gain knowledge on sequential model methods and functional API.
  • Become familiarised with BaseLogger, ModelCheckpoint, and TenserBoard.
  • Learn how to switch from one Keras backend to another.

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Course Information

Keras Training for Data Scientists Course Overview

Keras is an open-source neural network library written in Python and capable of running on top of CNTK, TensorFlow, or Theano. Keras was developed to enable fast experimentation and is extensively used by data scientists to architect the neural network for complex problems. Keras can serve as higher-level API, which means it can act as an interface for Theano, TensorFlow, etc. Keras also compiles model with loss and optimiser functions, training process with fit function. It does not handle low-level API such as making the computational graph, making tensors or other variables as the backend engine has dealt with it.

This 1-day Introduction to Keras Training is designed to provide knowledge to delegates about Keras and the usage of Keras. Delegates will learn about different Keras layers such as core layers, convolutional layers, pooling layers, locally-connected layers, recurrent layers, etc. In addition, delegates will learn how to perform sequence, text, and image preprocessing. Post completion of this intensive training, delegates will be able to use regularisers and constraints. 

Keras Training for Data Scientists Course Outline

This Introduction to Keras Training will explore the following topics:

Introduction to Keras

  • Define Keras
  • Guiding Principles
  • Why Use Keras?

Exploring Models

  • Overview of Keras Models
  • Sequential
  • Model (Functional API)

Overview of Keras Layers

  • Core Layers
  • Convolutional Layers
  • Pooling Layers
  • Locally-Connected Layers
  • Recurrent Layers
  • Embedding Layers
  • Merge Layers
  • Advanced Activations Layers
  • Normalisation Layers
  • Noise Layers
  • Layer Wrappers
  • Create Your Own Keras Layers

Preprocessing

  • Sequence Preprocessing
  • Text and Image Preprocessing
  • Losses
  • Metrics and Optimisers
  • Activations
  • Usage of Callbacks
    • BaseLogger
    • TerminateOnNaN and ProgbarLogger
    • ModelCheckpoint
    • LearningRateScheduler
    • TenserBoard
  • Datasets
  • Applications
  • Keras Backend
  • Initialisers
  • Usage of Regularizers and Constraints
  • Model Visualisations
  • Scikit-Learn API

Prerequisites

There are no formal prerequisites for attending this course.

Audience

Anyone interested in learning about Keras can attend this two-day intensive course. This course is well-suited for:

  • Business Analytics Professionals
  • Anyone beginning with Machine Learning
Please arrive at the venue at 8:45am.
There are no formal prerequisites for attending this course.
Anyone interested in learning about Keras can attend this two-day intensive course. This course is well-suited for: Business Analytics Professionals, Anyone beginning with Machine Learning
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 1 day.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The price for Keras Training for Data Scientists certification in the United Kingdom starts from £
The Knowledge Academy is the Leading global training provider in the world for Keras Training for Data Scientists.
  • Delegate pack consisting of course notes and exercises
  • Manual
  • Experienced Instructor

Key points about this course


Duration: 1 Days*

Support: 24/7

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Dublin
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Key points about this course


Duration: 1 Days*

Support: 24/7


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