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Explore Our Courses
DeepSpeed for Deep Learning
21 HoursDeep Learning for Vision with Caffe
21 HoursIntroduction to Deep Learning
21 HoursAdvanced Deep Learning
28 HoursDeep Learning for Business
14 HoursDeep Learning for Finance (with R)
28 HoursDeep Learning for Banking (with R)
28 HoursDeep Learning for Medicine
14 HoursDeep Learning for Healthcare
14 HoursDeep Learning for Vision
21 HoursMatlab for Deep Learning
14 HoursMachine Learning and Deep Learning
21 HoursNeural computing – Data science
14 HoursOpenNN: Implementing Neural Networks
14 HoursPaddlePaddle
21 HoursAdvanced Machine Learning with R
21 HoursLast Updated:
Getuigenissen (10)
We hadden een overzicht over Machine Learning, Neural Networks, AI met praktijkvoorbeelden.
Catalin - DB Global Technology SRL
Cursus - Machine Learning and Deep Learning
Machine Translated
examples based on our data
Witold - P4 Sp. z o.o.
Cursus - Deep Learning for Telecom (with Python)
The structure from first principles, to case studies, to application.
Margaret Webb - Department of Jobs, Regions, and Precincts
Cursus - Introduction to Deep Learning
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
Cursus - Artificial Neural Networks, Machine Learning, Deep Thinking
Tomasz really know the information well and the course was well paced.
Raju Krishnamurthy - Google
Cursus - TensorFlow Extended (TFX)
I was benefit from the passion to teach and focusing on making thing sensible.
Zaher Sharifi - GOSI
Cursus - Advanced Deep Learning
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Sacha Nandlall
Cursus - Python for Advanced Machine Learning
Very flexible.
Frank Ueltzhöffer
Cursus - Artificial Neural Networks, Machine Learning and Deep Thinking
Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
Paul Lee
Cursus - TensorFlow for Image Recognition
I liked the opportunities to ask questions and get more in depth explanations of the theory.