Essays about: "CIFAR-10"
Showing result 6 - 10 of 26 essays containing the word CIFAR-10.
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6. Robustness of Image Classification Using CNNs in Adverse Conditions
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The usage of convolutional neural networks (CNNs) has revolutionized the field of computer vision. Though the algorithms used in image recognition have improved significantly in the past decade, they are still limited by the availability of training data. READ MORE
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7. Hyperparameters relationship to the test accuracy of a convolutional neural network
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : Machine learning for image classification is a hot topic and it is increasing in popularity. Therefore the aim of this study is to provide a better understanding of convolutional neural network hyperparameters by comparing the test accuracy of convolutional neural network models with different hyperparameter value configurations. READ MORE
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8. The derivation of first- and second-order backpropagation methods for fully-connected and convolutional neural networks
University essay from Lunds universitet/Matematik LTH; Lunds universitet/MatematikcentrumAbstract : We introduce rigorous theory for deriving first and second order backpropagation methods for Deep Neural Networks (DNN) whilst satisfying existing theory in DNN optimization. We begin by formally defining a neural network with its respective components and state the first and second order chain rule with respect to its partial derivatives. READ MORE
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9. Investigating the Learning Behavior of Generative Adversarial Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Since their introduction in 2014, generative adversarial networks (GANs) have quickly become one of the most popular and successful frameworks for training deep generative models. GANs have shown exceptional results on different image generation tasks and they are known for their ability to produce realistic high- resolution images. READ MORE
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10. Analysing different optimization algorithms for training of neural networks
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : This thesis analyses four different optimization algorithms for training a convolutional neural network (CNN) using three different datasets. The algorithms studied were stochastic gradient descent (SGD), Polyak momentum, Nesterov momentum and Adaptive Moment Estimation (ADAM). READ MORE
