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Remember: All of our classroom courses are available as live instructor-led training which you can attend from home.

Remember: All of our classroom courses are available as live instructor-led training which you can attend from home.

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Keras Training For Data Scientists - Australia

Key points about this course


Duration: 1 Days*

Support: 24/7

Dates & Prices Enquire
  • 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.

Available delivery methods for this course

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Online Instructor-Led

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Online Self-Paced

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In-house

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Limited Budget?

We understand that people may have limited budgets.

  • To help and support our clients we will provide limited number of 250 daily discount codes.
  • Hurry first come, first served!
  • If you miss out, enquire to get yourself on the waiting list for the next day!

animated-arrow-image-0310 Enquire for daily discount code 219 Remaining (Live Counter)

Why Home Virtual is great

With an incredibly easy to use interface, our chosen platform has been designed to make learning online simple and enjoyable. It’s amazing video & audio quality means you won’t miss a thing.

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Works on all devices

Attend on whichever device works best for you.
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Recording & transcripts

Revisit what you’ve learnt at any time.
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See your trainer’s screen

Your instructor can share their screen at any time to demonstrate what they’re teaching.
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Share documents

You can share documents with the trainer and your trainer can share with you.
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Virtual whiteboard

Trainers can draw on and share their whiteboard with the class at any time.
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Key points about this course


Duration: 1 Days*

Support: 24/7

View dates & prices

Find out more

Please enter Name
Please enter valid Email
Please enter valid phone
The information you provide shall be processed by The Knowledge Academy – a professional training company. Your data shall be used by a member of staff to contact you regarding your enquiry. View privacy policy

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+61 1-800-150644

Keras Training For Data Scientists Dates & Prices

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Fri 3rd Jul 2020
Places available
Was: AUD2695
Now: AUD1495
Perth
Fri 17th Jul 2020
Places available
AUD3995
Adelaide
Fri 17th Jul 2020
Places available
AUD3995
Sydney
Fri 17th Jul 2020
Places available
AUD3695
Brisbane
Fri 17th Jul 2020
Places available
AUD3995
Canberra
Fri 17th Jul 2020
Places available
AUD3695
Melbourne
Fri 17th Jul 2020
Places available
AUD3695
Fri 14th Aug 2020
Places available
Was: AUD2695
Now: AUD1495
Fri 11th Sep 2020
Places available
Was: AUD2695
Now: AUD1495
Sydney
Fri 18th Sep 2020
Places available
AUD3695
Brisbane
Fri 18th Sep 2020
Places available
AUD3995
Canberra
Fri 18th Sep 2020
Places available
AUD3695
Melbourne
Fri 18th Sep 2020
Places available
AUD3695
Perth
Fri 18th Sep 2020
Places available
AUD3995
Adelaide
Fri 18th Sep 2020
Places available
AUD3995
Fri 2nd Oct 2020
Places available
Was: AUD2695
Now: AUD1495
Fri 13th Nov 2020
Places available
Was: AUD2695
Now: AUD1495
Canberra
Fri 20th Nov 2020
Places available
AUD3695
Melbourne
Fri 20th Nov 2020
Places available
AUD3695
Perth
Fri 20th Nov 2020
Places available
AUD3995
Adelaide
Fri 20th Nov 2020
Places available
AUD3995
Sydney
Fri 20th Nov 2020
Places available
AUD3695
Brisbane
Fri 20th Nov 2020
Places available
AUD3995
Fri 18th Dec 2020
Places available
Was: AUD2695
Now: AUD1495

Complete the steps below to receive a quote or more information

How will you be funding your training?

Self funding

Company funding

Not sure

Limited Budget?

We understand that people may have limited budgets.

  • To help and support our clients we will provide limited number of 250 daily discount codes.
  • Hurry, they’re first come, first served!
  • If you miss out, enquire to get yourself on the waiting list for the next day!

  Enquire for daily discount code 219  Remaining (Live Counter)

Key points about this course


Duration: 1 Days*

Support: 24/7


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 Australia starts from AUD1195
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

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Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

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Various delivery methods

Flexible delivery methods are available depending on your learning style.

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Resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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"...the trainer for this course was excellent. I would definitely recommend (and already have) this course to others."

Diane Gray, Shell

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