TensorFlow Training in Wales

TensorFlow Training in Wales

TensorFlow is a 2nd Generation API of Google's open source software library for Deep Learning.

NobleProg onsite live TensorFlow training courses demonstrate through hands-on practice how to use the TensorFlow system to facilitate research in machine learning, and to make it quick and easy to transition from research prototype to production system.

TensorFlow training is available in various formats, including onsite live training and live instructor-led training using an interactive, remote desktop setup. Local TensorFlow training can be carried out live on customer premises or in NobleProg local training centers.

Cardiff

Radisson Blu Hotel
Radisson Blu Hotel, Meridian Gate - Bute Terrace
Cardiff, GLA CF10 2FL
United Kingdom
Glamorgan GB
Cardiff
The Radisson Blu Hotel in Cardiff city centre is the perfect hub for your Welsh adventure Close to several public transportation options, our hotel in Cardiff...Read more

Client Testimonials

TensorFlow Course Events - Wales

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
tensorflowserving TensorFlow Serving Swansea- Princess House 7 hours Mon, 2018-03-12 09:30 £1100 / £1250
Neuralnettf Neural Networks Fundamentals using TensorFlow as Example Swansea- Princess House 28 hours Mon, 2018-03-12 09:30 £5200 / £5800
dlfornlp Deep Learning for NLP (Natural Language Processing) Swansea- Princess House 28 hours Tue, 2018-03-13 09:30 £4400 / £5000
embeddingprojector Embedding Projector: Visualizing your Training Data Cardiff 14 hours Thu, 2018-03-15 09:30 £2200 / £2800
dlfornlp Deep Learning for NLP (Natural Language Processing) Cardiff 28 hours Mon, 2018-03-19 09:30 £4400 / £5600
mlbankingpython_ Machine Learning for Banking (with Python) Cardiff 21 hours Wed, 2018-03-21 09:30 £3300 / £4200
tpuprogramming TPU Programming: Building Neural Network Applications on Tensor Processing Units Cardiff 7 hours Fri, 2018-03-23 09:30 £1100 / £1400
undnn Understanding Deep Neural Networks Cardiff 35 hours Mon, 2018-03-26 09:30 £5500 / £7000
dlv Deep Learning for Vision Swansea- Princess House 21 hours Mon, 2018-03-26 09:30 £3900 / £4350
tfir TensorFlow for Image Recognition Swansea- Princess House 28 hours Mon, 2018-03-26 09:30 £4400 / £5000
mlbankingpython_ Machine Learning for Banking (with Python) Swansea- Princess House 21 hours Mon, 2018-03-26 09:30 £3300 / £3750
datamodeling Pattern Recognition Cardiff 35 hours Mon, 2018-04-02 09:30 £6500 / £8000
tsflw2v Natural Language Processing with TensorFlow Cardiff 35 hours Mon, 2018-04-02 09:30 £6500 / £8000
Neuralnettf Neural Networks Fundamentals using TensorFlow as Example Cardiff 28 hours Tue, 2018-04-03 09:30 £5200 / £6400
tensorflowserving TensorFlow Serving Cardiff 7 hours Mon, 2018-04-16 09:30 £1100 / £1400
tpuprogramming TPU Programming: Building Neural Network Applications on Tensor Processing Units Swansea- Princess House 7 hours Mon, 2018-04-16 09:30 £1100 / £1250
dlv Deep Learning for Vision Cardiff 21 hours Mon, 2018-04-23 09:30 £3900 / £4800
tfir TensorFlow for Image Recognition Cardiff 28 hours Mon, 2018-04-23 09:30 £4400 / £5600
tsflw2v Natural Language Processing with TensorFlow Swansea- Princess House 35 hours Mon, 2018-04-30 09:30 £6500 / £7250
tf101 Deep Learning with TensorFlow Swansea- Princess House 21 hours Mon, 2018-04-30 09:30 £3300 / £3750
datamodeling Pattern Recognition Swansea- Princess House 35 hours Mon, 2018-04-30 09:30 £6500 / £7250
tf101 Deep Learning with TensorFlow Cardiff 21 hours Wed, 2018-05-02 09:30 £3300 / £4200
tensorflowserving TensorFlow Serving Swansea- Princess House 7 hours Mon, 2018-05-07 09:30 £1100 / £1250
Neuralnettf Neural Networks Fundamentals using TensorFlow as Example Swansea- Princess House 28 hours Mon, 2018-05-07 09:30 £5200 / £5800
embeddingprojector Embedding Projector: Visualizing your Training Data Swansea- Princess House 14 hours Thu, 2018-05-10 09:30 £2200 / £2500
embeddingprojector Embedding Projector: Visualizing your Training Data Cardiff 14 hours Thu, 2018-05-10 09:30 £2200 / £2800
tpuprogramming TPU Programming: Building Neural Network Applications on Tensor Processing Units Cardiff 7 hours Fri, 2018-05-11 09:30 £1100 / £1400
dlfornlp Deep Learning for NLP (Natural Language Processing) Swansea- Princess House 28 hours Tue, 2018-05-15 09:30 £4400 / £5000
dlv Deep Learning for Vision Swansea- Princess House 21 hours Wed, 2018-05-16 09:30 £3900 / £4350
undnn Understanding Deep Neural Networks Swansea- Princess House 35 hours Mon, 2018-05-21 09:30 £5500 / £6250
dlfornlp Deep Learning for NLP (Natural Language Processing) Cardiff 28 hours Mon, 2018-05-21 09:30 £4400 / £5600
tfir TensorFlow for Image Recognition Swansea- Princess House 28 hours Tue, 2018-05-22 09:30 £4400 / £5000
Neuralnettf Neural Networks Fundamentals using TensorFlow as Example Cardiff 28 hours Tue, 2018-05-29 09:30 £5200 / £6400
tsflw2v Natural Language Processing with TensorFlow Cardiff 35 hours Mon, 2018-06-04 09:30 £6500 / £8000
datamodeling Pattern Recognition Cardiff 35 hours Mon, 2018-06-04 09:30 £6500 / £8000
tensorflowserving TensorFlow Serving Cardiff 7 hours Mon, 2018-06-04 09:30 £1100 / £1400
tpuprogramming TPU Programming: Building Neural Network Applications on Tensor Processing Units Swansea- Princess House 7 hours Mon, 2018-06-04 09:30 £1100 / £1250
mlbankingpython_ Machine Learning for Banking (with Python) Swansea- Princess House 21 hours Tue, 2018-06-05 09:30 £3300 / £3750
mlbankingpython_ Machine Learning for Banking (with Python) Cardiff 21 hours Wed, 2018-06-06 09:30 £3300 / £4200
dlv Deep Learning for Vision Cardiff 21 hours Wed, 2018-06-13 09:30 £3900 / £4800
tf101 Deep Learning with TensorFlow Swansea- Princess House 21 hours Wed, 2018-06-20 09:30 £3300 / £3750
tsflw2v Natural Language Processing with TensorFlow Swansea- Princess House 35 hours Mon, 2018-06-25 09:30 £6500 / £7250
datamodeling Pattern Recognition Swansea- Princess House 35 hours Mon, 2018-06-25 09:30 £6500 / £7250
tensorflowserving TensorFlow Serving Swansea- Princess House 7 hours Mon, 2018-06-25 09:30 £1100 / £1250
tfir TensorFlow for Image Recognition Cardiff 28 hours Mon, 2018-06-25 09:30 £4400 / £5600
tf101 Deep Learning with TensorFlow Cardiff 21 hours Tue, 2018-06-26 09:30 £3300 / £4200
tpuprogramming TPU Programming: Building Neural Network Applications on Tensor Processing Units Cardiff 7 hours Fri, 2018-06-29 09:30 £1100 / £1400
embeddingprojector Embedding Projector: Visualizing your Training Data Cardiff 14 hours Mon, 2018-07-02 09:30 £2200 / £2800
undnn Understanding Deep Neural Networks Cardiff 35 hours Mon, 2018-07-02 09:30 £5500 / £7000
Neuralnettf Neural Networks Fundamentals using TensorFlow as Example Swansea- Princess House 28 hours Tue, 2018-07-03 09:30 £5200 / £5800
embeddingprojector Embedding Projector: Visualizing your Training Data Swansea- Princess House 14 hours Wed, 2018-07-04 09:30 £2200 / £2500
dlv Deep Learning for Vision Swansea- Princess House 21 hours Mon, 2018-07-09 09:30 £3900 / £4350
dlfornlp Deep Learning for NLP (Natural Language Processing) Swansea- Princess House 28 hours Tue, 2018-07-10 09:30 £4400 / £5000
undnn Understanding Deep Neural Networks Swansea- Princess House 35 hours Mon, 2018-07-16 09:30 £5500 / £6250
tfir TensorFlow for Image Recognition Swansea- Princess House 28 hours Mon, 2018-07-16 09:30 £4400 / £5000
dlfornlp Deep Learning for NLP (Natural Language Processing) Cardiff 28 hours Tue, 2018-07-17 09:30 £4400 / £5600
tpuprogramming TPU Programming: Building Neural Network Applications on Tensor Processing Units Swansea- Princess House 7 hours Mon, 2018-07-23 09:30 £1100 / £1250
tensorflowserving TensorFlow Serving Cardiff 7 hours Fri, 2018-07-27 09:30 £1100 / £1400
tsflw2v Natural Language Processing with TensorFlow Cardiff 35 hours Mon, 2018-07-30 09:30 £6500 / £8000
datamodeling Pattern Recognition Cardiff 35 hours Mon, 2018-07-30 09:30 £6500 / £8000
Neuralnettf Neural Networks Fundamentals using TensorFlow as Example Cardiff 28 hours Tue, 2018-07-31 09:30 £5200 / £6400
mlbankingpython_ Machine Learning for Banking (with Python) Cardiff 21 hours Wed, 2018-08-01 09:30 £3300 / £4200
mlbankingpython_ Machine Learning for Banking (with Python) Swansea- Princess House 21 hours Mon, 2018-08-06 09:30 £3300 / £3750
dlv Deep Learning for Vision Cardiff 21 hours Mon, 2018-08-13 09:30 £3900 / £4800
tensorflowserving TensorFlow Serving Swansea- Princess House 7 hours Fri, 2018-08-17 09:30 £1100 / £1250
tpuprogramming TPU Programming: Building Neural Network Applications on Tensor Processing Units Cardiff 7 hours Fri, 2018-08-17 09:30 £1100 / £1400
tsflw2v Natural Language Processing with TensorFlow Swansea- Princess House 35 hours Mon, 2018-08-20 09:30 £6500 / £7250
datamodeling Pattern Recognition Swansea- Princess House 35 hours Mon, 2018-08-20 09:30 £6500 / £7250
tf101 Deep Learning with TensorFlow Swansea- Princess House 21 hours Mon, 2018-08-20 09:30 £3300 / £3750
embeddingprojector Embedding Projector: Visualizing your Training Data Cardiff 14 hours Tue, 2018-08-21 09:30 £2200 / £2800
tf101 Deep Learning with TensorFlow Cardiff 21 hours Tue, 2018-08-21 09:30 £3300 / £4200
tfir TensorFlow for Image Recognition Cardiff 28 hours Tue, 2018-08-21 09:30 £4400 / £5600
embeddingprojector Embedding Projector: Visualizing your Training Data Swansea- Princess House 14 hours Thu, 2018-08-23 09:30 £2200 / £2500
dlv Deep Learning for Vision Swansea- Princess House 21 hours Wed, 2018-08-29 09:30 £3900 / £4350
undnn Understanding Deep Neural Networks Cardiff 35 hours Mon, 2018-09-03 09:30 £5500 / £7000
dlfornlp Deep Learning for NLP (Natural Language Processing) Swansea- Princess House 28 hours Tue, 2018-09-04 09:30 £4400 / £5000
dlfornlp Deep Learning for NLP (Natural Language Processing) Cardiff 28 hours Tue, 2018-09-11 09:30 £4400 / £5600

Course Outlines

Code Name Duration Outline
tf101 Deep Learning with TensorFlow 21 hours

TensorFlow is a 2nd Generation API of Google's open source software library for Deep Learning. The system is designed to facilitate research in machine learning, and to make it quick and easy to transition from research prototype to production system.

Audience

This course is intended for engineers seeking to use TensorFlow for their Deep Learning projects

After completing this course, delegates will:

  • understand TensorFlow’s structure and deployment mechanisms
  • be able to carry out installation / production environment / architecture tasks and configuration
  • be able to assess code quality, perform debugging, monitoring
  • be able to implement advanced production like training models, building graphs and logging
tfir TensorFlow for Image Recognition 28 hours

This course explores, with specific examples, the application of Tensor Flow to the purposes of image recognition

Audience

This course is intended for engineers seeking to utilize TensorFlow for the purposes of Image Recognition

After completing this course, delegates will be able to:

  • understand TensorFlow’s structure and deployment mechanisms
  • carry out installation / production environment / architecture tasks and configuration
  • assess code quality, perform debugging, monitoring
  • implement advanced production like training models, building graphs and logging
tsflw2v Natural Language Processing with TensorFlow 35 hours

TensorFlow™ is an open source software library for numerical computation using data flow graphs.

SyntaxNet is a neural-network Natural Language Processing framework for TensorFlow.

Word2Vec is used for learning vector representations of words, called "word embeddings". Word2vec is a particularly computationally-efficient predictive model for learning word embeddings from raw text. It comes in two flavors, the Continuous Bag-of-Words model (CBOW) and the Skip-Gram model (Chapter 3.1 and 3.2 in Mikolov et al.).

Used in tandem, SyntaxNet and Word2Vec allows users to generate Learned Embedding models from Natural Language input.

Audience

This course is targeted at Developers and engineers who intend to work with SyntaxNet and Word2Vec models in their TensorFlow graphs.

After completing this course, delegates will:

  • understand TensorFlow’s structure and deployment mechanisms
  • be able to carry out installation / production environment / architecture tasks and configuration
  • be able to assess code quality, perform debugging, monitoring
  • be able to implement advanced production like training models, embedding terms, building graphs and logging
dlv Deep Learning for Vision 21 hours

Audience

This course is suitable for Deep Learning researchers and engineers interested in utilizing available tools (mostly open source ) for analyzing computer images

This course provide working examples.

Neuralnettf Neural Networks Fundamentals using TensorFlow as Example 28 hours

This course will give you knowledge in neural networks and generally in machine learning algorithm,  deep learning (algorithms and applications).

This training is more focus on fundamentals, but will help you choosing the right technology : TensorFlow, Caffe, Teano, DeepDrive, Keras, etc. The examples are made in TensorFlow.

deepmclrg Machine Learning & Deep Learning with Python and R 14 hours
datamodeling Pattern Recognition 35 hours

This course provides an introduction into the field of pattern recognition and machine learning. It touches on practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics.

The course is interactive and includes plenty of hands-on exercises, instructor feedback, and testing of knowledge and skills acquired.

Audience
    Data analysts
    PhD students, researchers and practitioners

 

tpuprogramming TPU Programming: Building Neural Network Applications on Tensor Processing Units 7 hours

The Tensor Processing Unit (TPU) is the architecture which Google has used internally for several years, and is just now becoming available for use by the general public. It includes several optimizations specifically for use in neural networks, including streamlined matrix multiplication, and 8-bit integers instead of 16-bit in order to return appropriate levels of precision.

In this instructor-led, live training, participants will learn how to take advantage of the innovations in TPU processors to maximize the performance of their own AI applications.

By the end of the training, participants will be able to:

  • Train various types of neural networks on large amounts of data
  • Use TPUs to speed up the inference process by up to two orders of magnitude
  • Utilize TPUs to process intensive applications such as image search, cloud vision and photos

Audience

  • Developers
  • Researchers
  • Engineers
  • Data scientists

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice
embeddingprojector Embedding Projector: Visualizing your Training Data 14 hours

Embedding Projector is an open-source web application for visualizing the data used to train machine learning systems. Created by Google, it is part of TensorFlow.

This instructor-led, live training introduces the concepts behind Embedding Projector and walks participants through the setup of a demo project.

By the end of this training, participants will be able to:

  • Explore how data is being interpreted by machine learning models
  • Navigate through 3D and 2D views of data to understand how a machine learning algorithm interprets it
  • Understand the concepts behind Embeddings and their role in representing mathematical vectors for images, words and numerals.
  • Explore the properties of a specific embedding to understand the behavior of a model
  • Apply Embedding Project to real-world use cases such building a song recommendation system for music lovers

Audience

  • Developers
  • Data scientists

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice
tensorflowserving TensorFlow Serving 7 hours

TensorFlow Serving is a system for serving machine learning (ML) models to production.

In this instructor-led, live training, participants will learn how to configure and use TensorFlow Serving to deploy and manage ML models in a production environment.

By the end of this training, participants will be able to:

  • Train, export and serve various TensorFlow models
  • Test and deploy algorithms using a single architecture and set of APIs
  • Extend TensorFlow Serving to serve other types of models beyond TensorFlow models

Audience

  • Developers
  • Data scientists

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice
mlbankingpython_ Machine Learning for Banking (with Python) 21 hours

In this instructor-led, live training, participants will learn how to apply machine learning techniques and tools for solving real-world problems in the banking industry. Python will be used as the programming language.

Participants first learn the key principles, then put their knowledge into practice by building their own machine learning models and using them to complete a number of team projects.

Audience

  • Developers
  • Data scientists

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice
undnn Understanding Deep Neural Networks 35 hours

This course begins with giving you conceptual knowledge in neural networks and generally in machine learning algorithm, deep learning (algorithms and applications).

Part-1(40%) of this training is more focus on fundamentals, but will help you choosing the right technology : TensorFlow, Caffe, Theano, DeepDrive, Keras, etc.

Part-2(20%) of this training introduces Theano - a python library that makes writing deep learning models easy.

Part-3(40%) of the training would be extensively based on Tensorflow - 2nd Generation API of Google's open source software library for Deep Learning. The examples and handson would all be made in TensorFlow.

Audience

This course is intended for engineers seeking to use TensorFlow for their Deep Learning projects

After completing this course, delegates will:

  • have a good understanding on deep neural networks(DNN), CNN and RNN

  • understand TensorFlow’s structure and deployment mechanisms

  • be able to carry out installation / production environment / architecture tasks and configuration

  • be able to assess code quality, perform debugging, monitoring

  • be able to implement advanced production like training models, building graphs and logging
     

Not all the topics would be covered in a public classroom with 35 hours duration due to the vastness of the subject.

The Duration of the complete course will be around 70 hours and not 35 hours.

dlfornlp Deep Learning for NLP (Natural Language Processing) 28 hours

Deep Learning for NLP allows a machine to learn simple to complex language processing. Among the tasks currently possible are language translation and caption generation for photos. DL (Deep Learning) is a subset of ML (Machine Learning). Python is a popular programming language that contains libraries for Deep Learning for NLP.

In this instructor-led, live training, participants will learn to use Python libraries for NLP (Natural Language Processing) as they create an application that processes a set of pictures and generates captions. 

By the end of this training, participants will be able to:

  • Design and code DL for NLP using Python libraries
  • Create Python code that reads a substantially huge collection of pictures and generates keywords
  • Create Python Code that generates captions from the detected keywords

Audience

  • Programmers with interest in linguistics
  • Programmers who seek an understanding of NLP (Natural Language Processing) 

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice
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