Mask RNN

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Nov

Meeting Minutes from CellStrat AI Lab session on Saturday 2nd Nov at Bengaluru

#CellStratAILab #disrupt4.0 #WeCreateAISuperstars Last Saturday (2nd Nov ’19) we had amazing AI presentations at our AI Lab meetup. At our Bellandur (BLR) location, Amit Kumar presented an intuitive session on Image Classification with CNNs. He explained the core architecture of CNNs, including Kernel filter, activation function and pooling. Then he demonstrated the MNIST digit classification […]

Posted in: Computer Vision, Deep Learning, Healthcare, Machine Learning, Natural Language Processing,

Tags: activation function, BERT, binary / ternary net, cancer prediction, healthcare AI, kernel filter, low rank approximation, Mask RNN, max pooling, model compression, NLP, object detection, pruning, quantization, statistical modelling, statistics, weight sharing, winograd transformation,