Deep Learning

QANet - Any tips on implementing models from Research Papers? (2)
Loss function + data imbalance (1)
Project Maven, ML, Drones, the Military and Google (1)
If a model can overfit well on train set, does it mean I CAN generalize well? (2)
Cancer Data (5)
Adrew Ng is writing a book on those 'hard earned tricks' you keep hearing about (1)
Deep dive in to lung cancer diagnosis ( 2 3 4 5 ) (98)
Spatial Regularization Network (2)
Trouble with tensorflow-gpu==1.4.0 working with nvidia drivers v.384 (7)
Confused in finding a DL job-- My interview experience sharing ( 2 ) (31)
Best model if you have numerical, categorical, Text and Image features to predict same target variable (4)
GPU instances cost 5x less than AWS! (7)
SLR photography 2.0 (1)
Suggestion for Insurance Pilot project (urgently needed) (2)
Set game app (4)
Hosting a simple web application (12)
New AlphaGo Zero reinventing Go without data (5)
Best approach suggestion for image categorization starting from 3d model (1)
RNN with extra variables (1)
Image normalization in PyTorch (9)
Explanation for use of `debias_loss` (5)
Hinton's Capsule Networks ( 2 ) (21)
Reinforcement learning for combinatorial optimization (Help with PhD research) (10)
Multidimensional Volumes Classification (1)
Implementing SRGAN (7)
Using RNNs to fill in the blanks (2)
The road to 1.0: production ready PyTorch (2)
NN to extract data from HTML? (5)
Predict entire time series (3)
Advice regarding training DCGAN (1)