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  1. TensorFlow Training
  2. TensorFlow Training in Bristol

TensorFlow Training in Bristol

TensorFlow Training in Bristol

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

NobleProg 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. Local TensorFlow training can be carried out live on customer premises or in NobleProg local corporate training centers.

Bristol, Temple Gate

Citypoint
Temple Gate
Bristol, BST BS1 6PL
United Kingdom
See map: Google Maps
Bristol GB
Bristol, Temple Gate
The training rooms are located under a 2 minute walk from Bristol Temple Meads Railway station. From the main exit at Temple Meads Railway Station City Point is directly in front (approx 200 metres). On arrival in main reception a receptionist will direct you to the correct training room. If... Read more

Client Testimonials

Topic selection. Style of training. Practice orientation

Commerzbank AG

Course Name: Neural Networks Fundamentals using TensorFlow as Example

Topic selection. Style of training. Practice orientation

Commerzbank AG

Course Name: Neural Networks Fundamentals using TensorFlow as Example

Given outlook of the technology: what technology/process might become more important in the future; see, what the technology can be used for

Commerzbank AG

Course Name: Neural Networks Fundamentals using TensorFlow as Example

Very updated approach or api (tensorflow, kera, tflearn) to do machine learning

Paul Lee - Hong Kong Productivity Council

Course Name: TensorFlow for Image Recognition

I liked the opportunities to ask questions and get more in depth explanations of the theory.

Sharon Ruane - INTEL R&D IRELAND LIMITED

Course Name: Neural Networks Fundamentals using TensorFlow as Example

Very good all round overview.Good background into why Tensorflow operates as it does.

Kieran Conboy - INTEL R&D IRELAND LIMITED

Course Name: Neural Networks Fundamentals using TensorFlow as Example

I was amazed at the standard of this class - I would say that it was university standard.

David Relihan - INTEL R&D IRELAND LIMITED

Course Name: Neural Networks Fundamentals using TensorFlow as Example

Knowledgeable trainer

Sridhar Voorakkara - INTEL R&D IRELAND LIMITED

Course Name: Neural Networks Fundamentals using TensorFlow as Example

Paper explanation

Course Name: Deep Learning with TensorFlow - bespoke

Translated by Google Translated

论文讲解

I really appreciated the crystal clear answers of Chris to our questions.

Léo Dubus

Course Name: Réseau de Neurones, les Fondamentaux en utilisant TensorFlow comme Exemple

Translated by Google Translated

I really appreciated the crystal clear answers of Chris to our questions.

Léo Dubus

Previous Next

TensorFlow Course Events - Bristol

Code Name Venue Duration Course Date PHP Course Price [Remote / Classroom]
dlfornlp Deep Learning for NLP (Natural Language Processing) Bristol, Temple Gate 28 hours Tue, 2018-05-08 09:30 £5200 / £6200
undnn Understanding Deep Neural Networks Bristol, Temple Gate 35 hours Mon, 2018-05-14 09:30 £6500 / £7750
tensorflowserving TensorFlow Serving Bristol, Temple Gate 7 hours Tue, 2018-05-15 09:30 £1300 / £1550
dlv Deep Learning for Vision Bristol, Temple Gate 21 hours Wed, 2018-05-30 09:30 £3900 / £4650
tpuprogramming TPU Programming: Building Neural Network Applications on Tensor Processing Units Bristol, Temple Gate 7 hours Thu, 2018-05-31 09:30 £1300 / £1550
datamodeling Pattern Recognition Bristol, Temple Gate 35 hours Mon, 2018-06-11 09:30 £6500 / £7750
tsflw2v Natural Language Processing with TensorFlow Bristol, Temple Gate 35 hours Mon, 2018-06-11 09:30 £6500 / £7750
mlbankingpython_ Machine Learning for Banking (with Python) Bristol, Temple Gate 21 hours Mon, 2018-06-18 09:30 £3900 / £4650
Neuralnettf Neural Networks Fundamentals using TensorFlow as Example Bristol, Temple Gate 28 hours Tue, 2018-06-19 09:30 £5200 / £6200
embeddingprojector Embedding Projector: Visualizing your Training Data Bristol, Temple Gate 14 hours Mon, 2018-06-25 09:30 £2200 / £2700
tf101 Deep Learning with TensorFlow Bristol, Temple Gate 21 hours Tue, 2018-06-26 09:30 £3900 / £4650
tfir TensorFlow for Image Recognition Bristol, Temple Gate 28 hours Tue, 2018-06-26 09:30 £5200 / £6200
tensorflowserving TensorFlow Serving Bristol, Temple Gate 7 hours Thu, 2018-07-05 09:30 £1300 / £1550
undnn Understanding Deep Neural Networks Bristol, Temple Gate 35 hours Mon, 2018-07-09 09:30 £6500 / £7750
dlfornlp Deep Learning for NLP (Natural Language Processing) Bristol, Temple Gate 28 hours Tue, 2018-07-10 09:30 £5200 / £6200
dlv Deep Learning for Vision Bristol, Temple Gate 21 hours Tue, 2018-07-31 09:30 £3900 / £4650
datamodeling Pattern Recognition Bristol, Temple Gate 35 hours Mon, 2018-08-06 09:30 £6500 / £7750
tsflw2v Natural Language Processing with TensorFlow Bristol, Temple Gate 35 hours Mon, 2018-08-06 09:30 £6500 / £7750
tpuprogramming TPU Programming: Building Neural Network Applications on Tensor Processing Units Bristol, Temple Gate 7 hours Thu, 2018-08-09 09:30 £1300 / £1550
Neuralnettf Neural Networks Fundamentals using TensorFlow as Example Bristol, Temple Gate 28 hours Tue, 2018-08-14 09:30 £5200 / £6200
embeddingprojector Embedding Projector: Visualizing your Training Data Bristol, Temple Gate 14 hours Thu, 2018-08-16 09:30 £2200 / £2700
tfir TensorFlow for Image Recognition Bristol, Temple Gate 28 hours Mon, 2018-08-20 09:30 £5200 / £6200
mlbankingpython_ Machine Learning for Banking (with Python) Bristol, Temple Gate 21 hours Wed, 2018-08-22 09:30 £3900 / £4650
tensorflowserving TensorFlow Serving Bristol, Temple Gate 7 hours Fri, 2018-08-24 09:30 £1300 / £1550
tf101 Deep Learning with TensorFlow Bristol, Temple Gate 21 hours Wed, 2018-08-29 09:30 £3900 / £4650
undnn Understanding Deep Neural Networks Bristol, Temple Gate 35 hours Mon, 2018-09-03 09:30 £6500 / £7750
dlfornlp Deep Learning for NLP (Natural Language Processing) Bristol, Temple Gate 28 hours Tue, 2018-09-04 09:30 £5200 / £6200
tensorflowserving TensorFlow Serving Bristol, Temple Gate 7 hours Fri, 2018-10-12 09:30 £1300 / £1550
datamodeling Pattern Recognition Bristol, Temple Gate 35 hours Mon, 2018-10-15 09:30 £6500 / £7750
tfir TensorFlow for Image Recognition Bristol, Temple Gate 28 hours Mon, 2018-10-15 09:30 £5200 / £6200
embeddingprojector Embedding Projector: Visualizing your Training Data Bristol, Temple Gate 14 hours Mon, 2018-10-15 09:30 £2200 / £2700
tsflw2v Natural Language Processing with TensorFlow Bristol, Temple Gate 35 hours Mon, 2018-10-15 09:30 £6500 / £7750
Neuralnettf Neural Networks Fundamentals using TensorFlow as Example Bristol, Temple Gate 28 hours Tue, 2018-10-16 09:30 £5200 / £6200
mlbankingpython_ Machine Learning for Banking (with Python) Bristol, Temple Gate 21 hours Wed, 2018-10-17 09:30 £3900 / £4650
tpuprogramming TPU Programming: Building Neural Network Applications on Tensor Processing Units Bristol, Temple Gate 7 hours Wed, 2018-10-17 09:30 £1300 / £1550
dlv Deep Learning for Vision Bristol, Temple Gate 21 hours Wed, 2018-10-17 09:30 £3900 / £4650
tf101 Deep Learning with TensorFlow Bristol, Temple Gate 21 hours Mon, 2018-10-22 09:30 £3900 / £4650
undnn Understanding Deep Neural Networks Bristol, Temple Gate 35 hours Mon, 2018-10-29 09:30 £6500 / £7750
dlfornlp Deep Learning for NLP (Natural Language Processing) Bristol, Temple Gate 28 hours Tue, 2018-10-30 09:30 £5200 / £6200

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

Machine Learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Python is a programming language famous for its clear syntax and readability. It offers an excellent collection of well-tested libraries and techniques for developing machine learning applications.

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.

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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Other countries

These courses are also available in other countries ››

Consulting

TensorFlow Consulting
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Course Discounts

Course Venue Course Date Course Price [Remote / Classroom]
Comprehensive Git Sheffield Tue, 2018-04-24 09:30 £2970 / £3570
Kotlin for Android Developers London, Hatton Garden Wed, 2018-04-25 09:30 £3267 / £4392
Machine Learning and Deep Learning Belfast City Centre Mon, 2018-04-30 09:30 £3861 / £4611
DevOps Practical Implementation and Tools Cambridge Tue, 2018-05-01 09:30 £3861 / £4536
Enterprise Architecture Overview St Helier, Jersey, Channel Isles Thu, 2018-05-10 09:30 £1980 / £2930
JMeter Fundamentals Southampton Mon, 2018-05-21 09:30 £1089 / £1339
Administering MediaWiki Exeter - The Senate Mon, 2018-05-21 09:30 £990 / £1290
jQuery St Helier, Jersey, Channel Isles Thu, 2018-05-24 09:30 £1980 / £2930
Data Mining and Analysis Birmingham Tue, 2018-06-19 09:30 £5148 / £6448
Javascript And Ajax St Helier, Jersey, Channel Isles Mon, 2018-07-02 09:30 £4950 / £7325
OCUP2 UML 2.5 Certification - Advanced Exam Preparation St Helier, Jersey, Channel Isles Mon, 2018-07-23 09:30 £1980 / £2930
jQuery Swansea- Princess House Wed, 2018-08-15 09:30 £1980 / £2280
Test Automation with Selenium St Helier, Jersey, Channel Isles Tue, 2018-09-18 09:30 £2970 / £4395

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