About the Theory category (2)
Spherical CNNs (1)
Learning Rate Pattern for Structured Data (2)
LogSoftmax vs Softmax! (2)
Implementing Mask R-CNN ( 2 3 ) (51)
Regularization (7)
How to calculate mutual information with a NN + an application to GAN mode-dropping (5)
Uncertainty in Deep Learning (Bayesian networks, Gaussian processes) (3)
‘Minimalist machine learning’ algorithm analyzes complex microscopy and other images from very little data (1)
Categorical Embedding - Grouping Low Counts? (1)
Non-linear regression, Which network architecture? (1)
New MOOC: ( 2 ) (29)
Kaggle: Google Landmark Recognition and Retrieval Challenges (5)
Hard to train the RPN, look at my wired gradient curve (3)
Statistics book for Deep Learning recommendations (2)
Proper way to use embeddings in an auto encoder for time series forecasting? (2)
Implementing SRGAN (1)
Trying to make sense of GAN losses (2)
Making sense of charbonnier loss (5)
The math-shaped elephant in the room (13)
Hinton's Capsule Networks (20)
How can we cite or reference Fastai library in a paper? (6)
Improvements to context based self-supervised learning ( (4)
Can CTPN or CRNN be changed to recognize multiple words (5)
How depthwise separable convolutions work (2)
Attention Models in Computer Vision (2)
ReLU and its effectiveness (9)
Improving Generalization Performance by Switching from Adam to SGD (1)
Spatial Transformer Networks ( (5)
How does a fully connected neural network learn features compared to convolution neural networks? (7)