Tarnów

Hotel Tarnovia, Kościuszki 10, Tarnów, Polska, 33-100

Sala szkoleniowa NobleProg jest usytuowana w hotelu Tarnovia przy ulicy Kościuszki 10 w Ta...

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TensorFlow Lite for Embedded Linux

21 godzin
TensorFlow Lite is an open source deep learning framework for executing models on mobile and embedded devices with limited compute and memory resources. This instructor-led, live training (online or onsite) is aimed at developers who wish to use TensorFlow Lite to deploy deep learning models on embedded devices. By the end of this training, participants will be able to:
  • Install and configure Tensorflow Lite on an embedded device.
  • Understand the concepts and components underlying TensorFlow Lite.
  • Convert existing machine learning models to TensorFlow Lite format for execution on embedded devices.
  • Work within the limitations of small devices and TensorFlow Lite, while learning how to expand their default capabilities.
  • Deploy deep learning models on embedded devices running Linux to solve physical world problems such as recognizing images and voice, predicting patterns, and initiating movements and responses from robots and other embedded systems in the field.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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TensorFlow Lite for Android

21 godzin
TensorFlow Lite is an open source deep learning framework for mobile devices and embedded systems. This instructor-led, live training (online or onsite) is aimed at developers who wish to use TensorFlow Lite to develop mobile applications with deep learning capabilities. By the end of this training, participants will be able to:
  • Install and configure TensorFlow Lite.
  • Understand the principles behind TensorFlow, machine learning and deep learning.
  • Load TensorFlow Models onto an Android device.
  • Enable deep learning and machine learning functionality such as computer vision and natural language recognition in a mobile application.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
  • To learn more about TensorFlow, please visit: https://www.tensorflow.org/lite/
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TensorFlow Lite for iOS

21 godzin
TensorFlow Lite is an open source deep learning framework for mobile devices and embedded systems. This instructor-led, live training (online or onsite) is aimed at developers who wish to use TensorFlow Lite to develop iOS mobile applications with deep learning capabilities. By the end of this training, participants will be able to:
  • Install and configure TensorFlow Lite.
  • Understand the principles behind TensorFlow and machine learning on mobile devices.
  • Load TensorFlow Models onto an iOS device.
  • Run an iOS application capable of detecting and classifying an object captured through the device's camera.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
Więcej...

Tensorflow Lite for Microcontrollers

21 godzin
TensorFlow Lite for Microcontrollers is a port of TensorFlow Lite designed to run machine learning models on microcontrollers and other devices with limited memory. This instructor-led, live training (online or onsite) is aimed at engineers who wish to write, load and run machine learning models on very small embedded devices. By the end of this training, participants will be able to:
  • Install TensorFlow Lite.
  • Load machine learning models onto an embedded device to enable it to detect speech, classify images, etc.
  • Add AI to hardware devices without relying on network connectivity.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
Więcej...

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Opinie uczestników (20)

Dużo ćwiczeń, bardzo dobra współpraca z grupą.

Janusz Chrobot - ING Bank Śląski S.A.
Szkolenie - Introduction to Deep Learning

I think that if training would be done in polish it would allow the trainer to share his knowledge more efficient

Radek
Szkolenie - Introduction to Deep Learning

Exercises after each topic were really helpful, despite there were too complicated at the end. In general, the presented material was very interesting and involving! Exercises with image recognition were great.

Dolby Poland Sp. z o.o.
Szkolenie - Introduction to Deep Learning

Świetny kontakt z uczestnikami, wiedza praktyczna co bardzo się ceni. Dostosowanie toku / tempa. Duuuży plus, mega pozytywny instruktor, aż szkoda że szkolenie trwało tylko 2 dni.

Marcin Mikielewicz - TECNOBIT SLU
Szkolenie - Introduction Deep Learning & Réseaux de neurones pour l’ingénieur

examples based on our data

Witold - P4 Sp. z o.o.
Szkolenie - Deep Learning for Telecom (with Python)

code examples:-)

Marcin - P4 Sp. z o.o.
Szkolenie - Deep Learning for Telecom (with Python)

Working from first principles in a focused way, and moving to applying case studies within the same day

Maggie Webb - Department of Jobs, Regions, and Precincts
Szkolenie - Artificial Neural Networks, Machine Learning, Deep Thinking

It was very interactive and more relaxed and informal than expected. We covered lots of topics in the time and the trainer was always receptive to talking more in detail or more generally about the topics and how they were related. I feel the training has given me the tools to continue learning as opposed to it being a one off session where learning stops once you've finished which is very important given the scale and complexity of the topic.

Jonathan Blease
Szkolenie - Artificial Neural Networks, Machine Learning, Deep Thinking

The structure from first principles, to case studies, to application.

Margaret Webb - Department of Jobs, Regions, and Precincts
Szkolenie - Introduction to Deep Learning

The deep knowledge of the trainer about the topic.

Sebastian Görg
Szkolenie - Introduction to Deep Learning

I was benefit from the passion to teach and focusing on making thing sensible.

Zaher Sharifi - GOSI
Szkolenie - Advanced Deep Learning

We had an overview about Machine Learning, Neural Networks, AI with practical examples.

Catalin - DB Global Technology SRL
Szkolenie - Machine Learning and Deep Learning

Last day with the AI

Ovidiu - DB Global Technology SRL
Szkolenie - Machine Learning and Deep Learning

The examples that were picked, shared with us and explained

Cristina - DB Global Technology SRL
Szkolenie - Machine Learning and Deep Learning

Coverage and depth of topics

Anirban Basu
Szkolenie - Machine Learning and Deep Learning

The training provided the right foundation that allows us to further to expand on, by showing how theory and practice go hand in hand. It actually got me more interested in the subject than I was before.

Jean-Paul van Tillo
Szkolenie - Machine Learning and Deep Learning

In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.

Sacha Nandlall
Szkolenie - Python for Advanced Machine Learning

I liked that the instructor had many pre-written scripts to show off many different aspects of ML and AI. I really enjoyed being able to see live demos of so many ways ML and AI is being used. Much of what we covered was cutting edge technology that is still in its early stages of development.

Matthew Pepper - Motorola Solutions
Szkolenie - Deep Learning for Telecom (with Python)

The colab notebooks we get to keep

Palmer Greer - Motorola Solutions
Szkolenie - Deep Learning for Telecom (with Python)

The clarity with which it was presented

John McLemore - Motorola Solutions
Szkolenie - Deep Learning for Telecom (with Python)

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