The topic of this workshop session is PyTorch. We will give a general introduction on this popular deep learning framework, with practical illustrations on the basic usage of tensors and automatic differentiation, and on solving a simple temerature-conversion problem using PyTorch. The knowledge of topics covered in the previous session about machine/deep learning is assumed. Working experience of Python, Jupyter Notebooks will be helpful to follow the demos. Registration Link: https://ucla.zoom.us/meeting/register/tJwtf-CprzkvGNTkt_bZgImNtP1fl9XrfsNc
deep learning
Deep Learning, the Good, the Bad and the Ugly
This workshop is a remake for the general introduction about deep learning in our previous “Learning Deep Learning with PyTorch” workshop series. In this talk, we will talk about the deep learning and neural network from a different perspective. After a very brief introduction on what machine learning and deep learning are, our discussion will be focused on what deep learning technology can (and cannot) bring to the academic research, including both the benefits and the challenges. No specific prerequisite knowledge is required.
Deep Learning in Medicine
Recent years have witnessed a dramatic resurgence of interest in applying deep learning in various research and application areas. In this 2 hour session, we will present a broad and high-level overview on what deep-learning technologies can do for the domains of medicine and healthcare. Our discussion will focus on the three major application fields:…
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Learning Deep Learning with PyTorch (6) Recurrent Neural Networks and LSTM
This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected…
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Learning Deep Learning with PyTorch (5) Data Augmentation and Transfer Learning
This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected…
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Learning Deep Learning with PyTorch (4) Convolutional Neural Networks
This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected…
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Learning Deep Learning with PyTorch (3) Knowing PyTorch
This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected…
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Learning Deep Learning with PyTorch (2) Mechanics of Deep Learning
This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected…
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Learning Deep Learning with PyTorch (1) Introduction
This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected…
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Learning Deep Learning with PyTorch (5) Transfer Learning
This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected…
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