Convolutional Neural Networks (OMSCS Deep Learning Course Note 3)
Convolutional Neural Networks Introduction - convolution layer can take any input 3D tensor and output another similarly-shaped output - e.g. RGB ima...
This is going to be my blog page.
Convolutional Neural Networks Introduction - convolution layer can take any input 3D tensor and output another similarly-shaped output - e.g. RGB ima...
Optimization of Deep Neural Networks Background - Backpropagation and automatic differentiation allows us to optmize any function composed of differentia...
Linear Classiferers and Gradient Descent
Overview Segment the predictor space into a number of regions and use the mean or mode of the observations in the region for prediction. The segment/spliting...
What types of questions are answered by the product analytics team? What is the impact due to some situations? How do you estimate the profit or revenue...
What Alibaba’s Success Reveal about the Future of Strategy
Why and How to make this