Online or onsite, instructor-led live TensorFlow training courses demonstrate through interactive discussion and 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 as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Ontario onsite live TensorFlow trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Ottawa - Albert & Metcalfe
116 Albert Street, Ottawa, Canada, K1P 5G3
Across the street from the World Exchange Plaza. The Ottawa Shaw Centre and CF Rideau Centre shopping mall 10 minutes...
Across the street from the World Exchange Plaza. The Ottawa Shaw Centre and CF Rideau Centre shopping mall 10 minutes away.
On the top floor of a distinctive office tower that's highly visible from Highway 417, you'll find Regus 343 Prest...
On the top floor of a distinctive office tower that's highly visible from Highway 417, you'll find Regus 343 Preston Centre in Ottawa. Only a 10 minute drive from downtown Ottawa, a short stroll away from Dow’s Lake, and located near the lively intersection of Preston & Gladstone in Little Italy.
Mississauga - Airways
5925 Airport Road, Mississauga, Canada, L4V 1W1
Airways is a beautiful center located at 5925 Airport Road, directly across from Toronto Pearson International Airport off...
Airways is a beautiful center located at 5925 Airport Road, directly across from Toronto Pearson International Airport offering shuttle services. Adjacent to Highways 409 and 427, our center is easily accessible.
Oakville - Winston Park
2010 Winston Park Drive, Oakville, Canada, L6H 5R7
The Winston Park centre is located close to both the Queen Elizabeth Way and Ontario 403 giving easy access for Burlington...
The Winston Park centre is located close to both the Queen Elizabeth Way and Ontario 403 giving easy access for Burlington and Hamilton to the west and Mississauga and Toronto to the East.
West Toronto - Etobicoke
10 Four Seasons Place, Toronto, Canada, M9B 6H7
Etobicoke is a prestigious area located on the western fringe of Toronto, and is the cushion between Toronto and Mississau...
Etobicoke is a prestigious area located on the western fringe of Toronto, and is the cushion between Toronto and Mississauga. Easily accessible by public transportation (bus) and is 5 minutes from the local subway station.
Toronto - Toronto Street
36 Toronto Street, Toronto, Canada, M5C 2C5
Steps away from Toronto's prestigious financial core. Fast link to Pearson International Airport - less than 30 m...
Steps away from Toronto's prestigious financial core. Fast link to Pearson International Airport - less than 30 minutes away.
London - London City Centre
380 Wellington Street, London, Canada, N6A 5B5
The centre occupies the 6th floor of City Centre Building a conveniently-located corner complex in downtown London, Ontario.
...
The centre occupies the 6th floor of City Centre Building a conveniently-located corner complex in downtown London, Ontario.
Barrie - 49 High Street
49 High Street, Barrie, Canada, L4N 5J4
Balance work and leisure from our office space at 49 High Street. Barrie has a bustling commercial heart and enjoys great con...
Balance work and leisure from our office space at 49 High Street. Barrie has a bustling commercial heart and enjoys great connectivity – our central office space is just a few minutes’ drive from Highway 400
Brampton - Brampton County Court
2 County Court Blvd, Brampton, Canada, L6W 3W
The Brampton County Court business centre in Ontario is located in a modern building near the Grenville and William Davis ...
The Brampton County Court business centre in Ontario is located in a modern building near the Grenville and William Davis Court House in the downtown business district.
Brampton - 2 County Court
2 County Court Boulevard, Brampton, Canada, L6W 3W8
Look to the future with an office space at 2 County Court, a building with outstanding sustainability credentials. The third ...
Look to the future with an office space at 2 County Court, a building with outstanding sustainability credentials. The third largest city in Greater Toronto enjoys great transport links, while Toronto’s international airport is under 10 miles away.
Kitchener - 22 Frederick Street
22 Frederick Street, Kitchener, canada, N2H 6M6
Prominent office space in downtown location
Establish your business in the heart of downtown Kitchener. Work alongside leadi...
Prominent office space in downtown location
Establish your business in the heart of downtown Kitchener. Work alongside leading finance and insurance companies at our 22 Frederick Street offices on the corner of Frederick Street, giving you easy access to local amenities.
Richmond Hill - The Business Exchange
9225 Leslie Street, Richmond Hill, Canada, L4B 3H6
Place your business in the peaceful surroundings of Richmond Hill, home to leading global brands. Located in the northern sub...
Place your business in the peaceful surroundings of Richmond Hill, home to leading global brands. Located in the northern suburbs, our The Business Exchange workspace is just a 30-minute drive from central Toronto and the International Airport.
Scarborough – 10 Milner Business Court
10 Milner Business Court, Scarborough, Canada, M1B 3C6
The Milner Court centre occupies the third floor of a corner property. The centre is easy to get to by public transpo...
The Milner Court centre occupies the third floor of a corner property. The centre is easy to get to by public transport, both by bus and the rapid transit system.
Maximise opportunities in this forward-thinking city, a centre of knowledge that's home to several tech giants. Our well-conn...
Maximise opportunities in this forward-thinking city, a centre of knowledge that's home to several tech giants. Our well-connected 180 Northfield Drive West centre is on the city's Corporate Campus near the prestigious University of Waterloo.
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
This is a 4 day course introducing AI and it's application. There is an option to have an additional day to undertake an AI project on completion of this course.
In this instructor-led, live training in Ontario, participants will learn to use Python libraries for NLP 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
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.
This instructor-led, live training in Ontario (online or onsite) is aimed at data scientists who wish to use TensorFlow to analyze potential fraud data.
By the end of this training, participants will be able to:
Create a fraud detection model in Python and TensorFlow.
Build linear regressions and linear regression models to predict fraud.
Develop an end-to-end AI application for analyzing fraud data.
This instructor-led, live training in (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to an OpenShift on-premise or hybrid cloud.
By the end of this training, participants will be able to:
Install and configure Kubernetes and Kubeflow on an OpenShift cluster.
Use OpenShift to simplify the work of initializing a Kubernetes cluster.
Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
Call public cloud services (e.g., AWS services) from within OpenShift to extend an ML application.
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 to choose the right technology : TensorFlow, Caffe, Teano, DeepDrive, Keras, etc. The examples are made in TensorFlow.
This instructor-led, live training in Ontario (online or onsite) is aimed at developers and data scientists who wish to use Tensorflow 2.x to build predictors, classifiers, generative models, neural networks and so on.
By the end of this training, participants will be able to:
Install and configure TensorFlow 2.x.
Understand the benefits of TensorFlow 2.x over previous versions.
Build deep learning models.
Implement an advanced image classifier.
Deploy a deep learning model to the cloud, mobile and IoT devices.
This instructor-led, live training in Ontario (online or onsite) is aimed at data scientists who wish to use TensorFlow.js to identify patterns and generate predictions through machine learning models.
By the end of this training, participants will be able to:
Build and train machine learning models with TensorFlow.js.
Run existing machine learning models in the browser or under Node.js.
Retrain pre-existing machine learning using custom data.
In this instructor-led, live training in Ontario (online or onsite), 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.
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
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
This instructor-led, live training in Ontario (online or onsite) is aimed at data scientists who wish to go from training a single ML model to deploying many ML models to production.
By the end of this training, participants will be able to:
Install and configure TFX and supporting third-party tools.
Use TFX to create and manage a complete ML production pipeline.
Work with TFX components to carry out modeling, training, serving inference, and managing deployments.
Deploy machine learning features to web applications, mobile applications, IoT devices and more.
In this instructor-led, live training in Ontario, 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.
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
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
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Testimonials (3)
Tomasz really know the information well and the course was well paced.
Raju Krishnamurthy - Google
Course - TensorFlow Extended (TFX)
Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
Paul Lee
Course - TensorFlow for Image Recognition
I liked the opportunities to ask questions and get more in depth explanations of the theory.
Sharon Ruane
Course - Neural Networks Fundamentals using TensorFlow as Example
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