About the Applications category (1)
Kaggle Data Science Bowl 2018 : Find and segment nuclei ( 2 ) (28)
Counting the objects in an image (3)
Amazon Earth Data Set (2)
Fastai notebook computation time benchmarks (7)
Finance (Trading, Investing, Fintech, etc.) (4)
Machine Learning Credits: AWS/Paperspace/Crestle etc (1)
Multi Spectral Imaging (2)
Video Classification (3)
X-rays - Radiologists (6)
Should the final model be retrained on full available data set (train+validation, not test) after validation? (6)
For a ML problem, should parameters be tuned on samples or all dataset? (1)
Deeplearning for spatiotemporal data (1)
Use object identification to prevent mass shooting? (3)
Explanation for use of `debias_loss` (1)
Los Angeles Deep Learning Meetup (1)
Object detection using R-CNN (1)
Splitting data into valdation and training | Script included (1)
Deep Steganography (2)
Use TimeDistributed+LSTM with variable input size (1)
Blog Post on Which Activation Function to Use (1)
Sequence Labeling / Tagging Tasks in Natural Language Processing (NLP) (1)
Evolution of the fast ai forum (1)
Criteria for Machine Learn-able Problems (3)
Emotion detection in movies (1)
Music data set for char RNN (8)
Video segmentation task (2)
Need help regarding GPU clustering (4)
A framework for applying deep learning to software testing (3)
How do you prepare for AI projects? Answer our survey! (2)