Deep Learning Training Courses - United Arab Emirates
(58 feedbacks)
Online or onsite, instructor-led live Deep Learning (DL) training courses demonstrate through hands-on practice the fundamentals and applications of Deep Learning and cover subjects such as deep machine learning, deep structured learning, and hierarchical learning.
Deep Learning 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. Onsite live Deep Learning trainings in United Arab Emirates can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Subcategories (12)
Deep Learning for Finance (with R)
28 hours
Deep Learning for Banking (with R)
28 hours
Matlab for Deep Learning
14 hours
Microsoft Cognitive Toolkit 2.x
21 hours
Neural computing – Data science
14 hours
Advanced Machine Learning with R
21 hours
Introduction to Deep Learning
21 hours
Advanced Deep Learning
28 hours
Machine Learning and Deep Learning
21 hours
Deep Learning for Medicine
14 hours
Deep Learning for Healthcare
14 hours
Deep Learning for Business
14 hours
TensorFlow Lite for Android
21 hours
TensorFlow Lite for iOS
21 hours
TensorFlow Lite for Embedded Linux
21 hours
Tensorflow Lite for Microcontrollers
21 hours
Torch for Machine and Deep Learning
21 hours
Understanding Deep Neural Networks
35 hours
Applied AI from Scratch
28 hours
Deep Learning for Vision
21 hours
Deep Learning with TensorFlow
21 hours
PaddlePaddle
21 hours
NLP with Deeplearning4j
14 hours
Mastering Deeplearning4j
21 hours
DeepLearning4J for Image Recognition
21 hours
Deep Learning for Self Driving Cars
21 hours
Deep Learning with Keras
21 hours
Deep Learning for Vision with Caffe
21 hours
OpenNN: Implementing Neural Networks
14 hours
Hardware-Accelerated Video Analytics
14 hours
Kubeflow on OpenShift
28 hours
Mastering Apache SINGA
21 hours
AlphaFold
7 hours
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 [Artificial Neural Networks, Machine Learning, Deep Thinking]The topic is very interesting.
Wojciech Baranowski [Introduction to Deep Learning]Trainers theoretical knowledge and willingness to solve the problems with the participants after the training.
Grzegorz Mianowski [Introduction to Deep Learning]Topic. Very interesting!.
Piotr [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. [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 [Introduction to Deep Learning]The global overview of deep learning.
Bruno Charbonnier [Advanced Deep Learning]The exercises are sufficiently practical and do not need high knowledge in Python to be done.
Alexandre GIRARD [Advanced Deep Learning]Doing exercises on real examples using Eras. Italy totally understood our expectations about this training.
Paul Kassis [Advanced Deep Learning]I really appreciated the crystal clear answers of Chris to our questions.
Léo Dubus [Réseau de Neurones, les Fondamentaux en utilisant TensorFlow comme Exemple]I generally enjoyed the knowledgeable trainer.
Sridhar Voorakkara [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 [Neural Networks Fundamentals using TensorFlow as Example]Very good all round overview. Good background into why Tensorflow operates as it does.
Kieran Conboy [Neural Networks Fundamentals using TensorFlow as Example]I liked the opportunities to ask questions and get more in depth explanations of the theory.
Sharon Ruane [Neural Networks Fundamentals using TensorFlow as Example]We have gotten a lot more insight in to the subject matter. Some nice discussion were made with some real subjects within our company.
Sebastiaan Holman [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 [Machine Learning and Deep Learning]I really enjoyed the coverage and depth of topics.
Anirban Basu [Machine Learning and Deep Learning]The deep knowledge of the trainer about the topic.
Sebastian Görg [Introduction to Deep Learning]Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
Paul Lee [TensorFlow for Image Recognition]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 [Neural Networks Fundamentals using TensorFlow as Example]I was benefit from topic selection. Style of training. Practice orientation.
Commerzbank AG [Neural Networks Fundamentals using TensorFlow as Example]way of conducting and example given by the trainer
ORANGE POLSKA S.A. [Machine Learning and Deep Learning]Possibility to discuss the proposed issues yourself
ORANGE POLSKA S.A. [Machine Learning and Deep Learning]Communication with lecturers
文欣 张 [Artificial Neural Networks, Machine Learning, Deep Thinking]like it all
lisa xie [Artificial Neural Networks, Machine Learning, Deep Thinking]In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Sacha Nandlall [Python for Advanced Machine Learning]Big and up-to-date knowledge of leading and practical application examples.
- ING Bank Śląski S.A. [Introduction to Deep Learning]A lot of exercises, very good cooperation with the group.
Janusz Chrobot - ING Bank Śląski S.A. [Introduction to Deep Learning]work on colaborators,
- ING Bank Śląski S.A. [Introduction to Deep Learning]It was obvious that the enthusiasts of the presented topics were leading. Used interesting examples during exercise.
- ING Bank Śląski S.A. [Introduction to Deep Learning]A wide range of topics covered and substantial knowledge of the leaders.
- ING Bank Śląski S.A.; Kamil Kurek Programowanie [Understanding Deep Neural Networks]Lack
- ING Bank Śląski S.A.; Kamil Kurek Programowanie [Understanding Deep Neural Networks]Big theoretical and practical knowledge of the lecturers. Communicativeness of trainers. During the course, you could ask questions and get satisfactory answers.
Kamil Kurek - ING Bank Śląski S.A.; Kamil Kurek Programowanie [Understanding Deep Neural Networks]Practical part, where we implemented algorithms. This allowed for a better understanding of the topic.
- ING Bank Śląski S.A.; Kamil Kurek Programowanie [Understanding Deep Neural Networks]exercises and examples implemented on them
Paweł Orzechowski - ING Bank Śląski S.A.; Kamil Kurek Programowanie [Understanding Deep Neural Networks]Examples and issues discussed.
- ING Bank Śląski S.A.; Kamil Kurek Programowanie [Understanding Deep Neural Networks]Substantive knowledge, commitment, a passionate way of transferring knowledge. Practical examples after a theoretical lecture.
Janusz Chrobot - ING Bank Śląski S.A.; Kamil Kurek Programowanie [Understanding Deep Neural Networks]Practical exercises prepared by Mr. Maciej
- ING Bank Śląski S.A.; Kamil Kurek Programowanie [Understanding Deep Neural Networks]I was benefit from the passion to teach and focusing on making thing sensible.
Zaher Sharifi - GOSI [Advanced Deep Learning]Human identification and circuit board bad point detection
王 春柱 - 中移物联网 [Deep Learning for NLP (Natural Language Processing)]Demonstrate
- 中移物联网 [Deep Learning for NLP (Natural Language Processing)]About face area.
- 中移物联网 [Deep Learning for NLP (Natural Language Processing)]The informal exchanges we had during the lectures really helped me deepen my understanding of the subject
- Explore [Deep Reinforcement Learning with Python]A lot of practical tips
Pawel Dawidowski - ABB Sp. z o.o. [Deep Learning with TensorFlow]A lot of information related to the implementation of solutions
Michał Smolana - ABB Sp. z o.o. [Deep Learning with TensorFlow]A multitude of practical tips and knowledge of the lecturer from a wide range of AI / IT / SQL / IoT issues.
- ABB Sp. z o.o. [Deep Learning with TensorFlow]lots of information, all questions ansered, interesting examples
A1 Telekom Austria AG [Deep Learning for Telecom (with Python)]I started with close to zero knowledge, and by the end I was able to build and train my own networks.
Huawei Technologies Duesseldorf GmbH [TensorFlow for Image Recognition]Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject
Ali Kattan - TWPI [Natural Language Processing with TensorFlow]the way he present everything with examples and training was so useful
Ibrahim Mohammedameen - TWPI [Natural Language Processing with TensorFlow]Very knowledgeable
Usama Adam - TWPI [Natural Language Processing with TensorFlow]The excersise where we should train a network to approximate a function
Nercia Utbildning AB [Deep Learning with TensorFlow 2.0]Tomasz really know the information well and the course was well paced.
Raju Krishnamurthy - Google [TensorFlow Extended (TFX)]having access to the notebooks to work through
Premier Partnership [Python for Advanced Machine Learning]The trainers knowledge of the topics he was teaching.
Premier Partnership [Python for Advanced Machine Learning]The trainer explained the content well and was engaging throughout. He stopped to ask questions and let us come to our own solutions in some practical sessions. He also tailored the course well for our needs.
Robert Baker [Deep Learning with TensorFlow 2.0]Trainer was very knowledgeable and open to questions, liked to draw diagrams and explained things in a pretty good way
[Deep Learning with TensorFlow 2.0]Trainer was very knowledgeable and open to questions, liked to draw diagrams and explained things in a pretty good way
[Deep Learning with TensorFlow 2.0]