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]

• Machine Learning Crash Course · Google

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]

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.

Zero to Mastery Learn PyTorch for Deep Learning

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.