Deep Learning Theory and Practice [HPE_HU0F0S]
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Deep Learning Theory and Practice [HPE_HU0F0S]
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Starting dates and places
placeVirtual Instructor Led Training (Central European Time CET) 2 Feb 2026 until 3 Feb 2026 |
placeVirtual Instructor Led Training (Central European Time CET) 11 May 2026 until 12 May 2026 |
placeVirtual Instructor Led Training (Central European Time CET) 17 Aug 2026 until 18 Aug 2026 |
placeVirtual Instructor Led Training (Central European Time CET) 16 Nov 2026 until 17 Nov 2026 |
Description
OVERVIEW
This training covers the foundations of artificial intelligence and machine learning, with special focus on deep learning. Best practices in managing deep learning projects will be shared. Hands-on labs in Python, TensorFlow and Keras will be provided to deepen student understanding.
OBJECTIVES
At the conclusion of this course, you should be able to:
• Understand general terms and backgroundof deep learning
• Leverage pre-trained deep learning modelsin image classification, object detection andnatural language processing
• Know the best practices in managing deeplearning projects
• Get basic understanding on deep learningapplication development using Python,TensorFlow and Keras
…
Frequently asked questions
There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.
OVERVIEW
This training covers the foundations of artificial intelligence and machine learning, with special focus on deep learning. Best practices in managing deep learning projects will be shared. Hands-on labs in Python, TensorFlow and Keras will be provided to deepen student understanding.
OBJECTIVES
At the conclusion of this course, you should be able to:
• Understand general terms and backgroundof deep learning
• Leverage pre-trained deep learning modelsin image classification, object detection andnatural language processing
• Know the best practices in managing deeplearning projects
• Get basic understanding on deep learningapplication development using Python,TensorFlow and Keras
AUDIENCE
This course is ideal for data scientists, software developers, solution architects, project managers, researchers and other IT professionals looking to understand deep learning, and to develop and deploy deep learning solutions
CONTENT
huf0sa00 (hpe.com)
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Do you have experience with this course? Submit your review and help other people make the right choice. As a thank you for your effort we will donate £1.- to Stichting Edukans.There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.