NVIDIA Fundamentals of Deep Learning for Multiple Data Types.
This workshop uses a series of hands-on exercises to teach deep learning techniques for a range of problems involving multiple data types. After a quick introduction to deep learning, you’ll advance to building deep learning applications for image segmentation, sentence generation, and image and video captioning, while learning relevant computer vision, neural network, and natural language processing concepts. At the end of the workshop, you’ll be able to assess a broad spectrum of problems where deep learning can be applied.
At the conclusion of the workshop, you’ll have an understanding of the fundamentals of deep learning for
multiple data types and be able to:
- Implement common deep learning workflows such as image segmentation and text generation
- Compare and contrast data types, workflows, and frameworks
- Combine deep learning-powered computer vision and natural language processing to start solving sophisticated real-world problems that require multiple input data types
> Meet the instructor.
> Create an account at courses.nvidia.com/join.
|Image Segmentation with TensorFlow
> Compare image segmentation to other computer vision problems.
> Experiment with TensorFlow tools.
> Implement effective metrics for assessing model performance.
|Intermission: Lunch included at Carlton Hotel.
|Word Generation with TensorFlow
> Learn about natural language processing (NLP) and recurrent neural networks (RNNs).
> Create network inputs from text data.
> Test with new data and iterate to improve performance.
|Image and Video Captioning
> Combine computer vision and natural language processing to describe scenes.
> Learn to harness the functionality of convolutional neural networks (CNNs) and RNNs.
> Review key learnings and wrap up questions.
> Complete the assessment to earn a certificate.
> Take the workshop survey.
Lunch included at Carlton Hotel.
Enroll to receive price and course information.
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Eliezer Peri St 10 (Carlton Hotel), Tel Aviv, Israel