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Showing posts from April, 2018

Derivation of Convolutional Neural Network from Fully Connected Network Step-By-Step

Derivation of Convolutional Neural Network from Fully Connected Network Step-By-Step In image analysis, #convolutional neural networks (#CNNs or #ConvNets for short) are time and memory efficient than fully connected (#FC) networks. But why? What are the advantages of ConvNets over FC networks in image analysis? How is #ConvNet derived from FC networks? Where the term #convolution in CNNs came from? These questions are to be answered in this #article. #FullyConnected #CNN #DeepLearning #DL #MachineLearning #ML #ANN #NeuralNetwork #NN #DataAnalysis #DataScience #KDnuggets Article @ #LinkedIn https://www.linkedin.com/pulse/derivation-convolutional-neural-network-from-fully-connected-gad/ Article @ #SlideShare https://www.slideshare.net/AhmedGadFCIT/derivation-of-convolutional-neural-network-convnet-from-fully-connected-network

Are New Technologies Killing Their Ancestors?

Are New Technologies Killing Their Ancestors?