Network-architecture
Training Image Classification 8x Faster With NFNet
Introduction: Anyone who has deployed a neural network on production knows that deploying a network is easy but making sure that it stays updated as new user data flows is a harder task. It involves keep training the network with new incoming data frequently and in such a case being able to train faster is […]
Continue ReadingEfficientNets: The Free lunch of 2019 for convolutional neural networks
Neural network architecture design is one of the key hyperparameters in solving problems using deep learning and computer vision. Various neural networks are compared on two key factors i.e. accuracy and computational requirement. In general, as we aim to design more accurate neural networks, the computational requirement increases. The term ‘Efficient’ in Efficient Net strongly […]
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