About the Theory category
Making sense of charbonnier loss
The math-shaped elephant in the room
Implementing Mask R-CNN
Statistics book for Deep Learning recommendations
Kaggle: Google Landmark Recognition and Retrieval Challenges
Hinton's Capsule Networks
How can we cite or reference Fastai library in a paper?
Improvements to context based self-supervised learning (https://arxiv.org/abs/1711.06379)
Can CTPN or CRNN be changed to recognize multiple words
How depthwise separable convolutions work
Attention Models in Computer Vision
ReLU and its effectiveness
Improving Generalization Performance by Switching from Adam to SGD
Spatial Transformer Networks (https://arxiv.org/abs/1506.02025)
How does a fully connected neural network learn features compared to convolution neural networks?
"Differentiable programming" - is this why we switched to pytorch?
New Blog post - Graph embeddings 2017
Two types of Transfer Learning
Deep gates in RNNs?
Skip connections in RNNs
Stuck while implementing Gradient Boosting from scratch
Google's AI creates AI
DeepLearners paper reading Dec. 2nd Meetup
Great post: A Year in Computer Vision
Is fast.ai in a grand movement of revolution?: software vs learnware
New Nature journal: Nature Machine Intelligence
Some really nice looking ML/DL cheat sheets
DeepLearners Nov.18th 6PM on GANs
Estimating distribution parameters using RNNs
next page →