About the Applications category (1)
XGBoost with GPU support (6)
Integrating trained model into nodejs backend (5)
Image Classification Idea (Looking for opinions) (3)
Deep Learning Applications in Agriculture :corn: (3)
Kaggle Data Science Bowl 2018 : Find and segment nuclei ( 2 3 ) (48)
Hosting a simple web application (4)
Transfer Learning for Medical Radiography (18)
SublimeSFTP/Remote: Working with multiple cloud instances with sublime (1)
Using fastai library, model only returns 0s (1)
Running predictions against a trained model (6)
Segmentation & classification of petroglyphs (2)
AMD Releases ROCm 1.0, their deep learning platform (3)
How to deploy a trained model in Python 3.5 environment? (2)
New open source medical image database (11)
Design for AI report out now! (1)
Finance (Trading, Investing, Fintech, etc.) (7)
Assigning the factor levels to the embeddings tables (1)
Reading serialized arrays instead of images (4)
Video Annotation & Bookmarking (1)
Shape of an image input in resnet (1)
Project Proposal: SeGAN for supervised image segmentation (7)
Brief and clear NN intro for non-ML audience (for meteorology papers) (3)
Neural Networks for Stereo to Multiview View Synthesis (1)
Data pre-processing for the input having very small values (2)
Any idea about sparse Matrix inputs? (for RNN, LSTM? ) (3)
Alchemy, free tools to help you benchmark and convert neural networks for use in mobile apps (1)
(Not a course related question) How to load big data and train in deep learning? (3)
Uint16 intensity images (3)
Questions on torchtext and padding as a regularizer (6)