Deep Learning
深度學習
Introduction to Deep Learning
Short Visualization Introduction
Neural Networks from Scratch・Allison George・2021
CNN Explainer・Jay Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, and Polo Chau
playground.tensorflow.org・Daniel Smilkov and Shan Carter
Online Course
MIT Introduction to Deep Learning | 6.S191・MIT・2023 Edition
How Deep Neural Networks Work · feeCodeCamp.org · [03:50:56]
Papers
Deep Learning: A Primer for Radiologists・Gabriel Chartrand, Phillip M. Cheng, Eugene Vorontsov, Michal Drozdzal, Simon Turcotte, Christopher J. Pal, Samuel Kadoury, An Tang・Radio Graphics (2017)
Deep Learning: An Update for Radiologists・Phillip M. Cheng, Emmanuel Montagnon, Rikiya Yamashita, Ian Pan, Alexandre Cadrin-Chênevert, Francisco Perdigón Romero, Gabriel Chartrand, Samuel Kadoury, An Tang・Radio Graphics (2021)
The Modern Mathematics of Deep Learning・Julius Berner, Philipp Grohs, Gitta Kutyniok, Philipp Petersen・arxiv
Lecture
Deep Learning in Medical Images (Video) [XYZ03]
Deep Learning in Medical Images (Slide) [XYZ03]
PyTorch
Introduction to Deep Learning with PyTorch・DataCamp・4 Hours Course
Learn the power of deep learning in PyTorch. Build your first neural network, adjust hyperparameters, and tackle classification and regression problems.
Intermediate Deep Learning with PyTorch・DataCamp・4 Hours Course
Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.
Deep Learning for Images with PyTorch・DataCamp・4 Hours Course
Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.
初探深度學習中的數學與演算法
顏佐榕 教授
中央研究院・統計科學研究所
簡介
本課程從數學推導以及演算法的角度，簡介深度學習與網路架構。並以醫學影像分類為範例，說明深度學習的應用。
Neural Networks
Introduction to Deep Learning in Python・DataCamp・4 hours Course (Intermediate)
Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.
Working with Hugging Face・DataCamp・4 hours Course
Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.
Recurrent Neural Networks (RNNs) for Language Modeling with Keras・DataCamp・4 Hours Course
Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.