About the Theory category (2)
Making sense of charbonnier loss (5)
The math-shaped elephant in the room (13)
Implementing Mask R-CNN ( 2 3 ) (47)
Statistics book for Deep Learning recommendations (1)
Kaggle: Google Landmark Recognition and Retrieval Challenges (1)
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)
"Differentiable programming" - is this why we switched to pytorch? (12)
New Blog post - Graph embeddings 2017 (6)
Two types of Transfer Learning (4)
Deep gates in RNNs? (1)
Skip connections in RNNs (1)
Stuck while implementing Gradient Boosting from scratch (1)
Google's AI creates AI (1)
DeepLearners paper reading Dec. 2nd Meetup (11)
Great post: A Year in Computer Vision (1)
Is in a grand movement of revolution?: software vs learnware (3)
New Nature journal: Nature Machine Intelligence (1)
Some really nice looking ML/DL cheat sheets (3)
DeepLearners Nov.18th 6PM on GANs (1)
Estimating distribution parameters using RNNs (1)