EE 569
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Solved EE569: Homework 6 Problem 1: Origin of Green Learning (GL) (35%) (a) Feedforward-designed Convolutional Neural Networks (FF-CNNs) (20%)
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Solved EE 569: Homework 5 Problem 1: CNN Training on LeNet-5 (100%) In this problem, you will learn to train a simple convolutional neural network
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Solved EE 569: Homework 4 Problem 1: Texture Analysis (35%) In this problem, you will implement texture analysis and segmentation algorithms
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Solved EE 569: Homework 3 Problem 1: Geometric Image Modification (25%) Design and implement a spatial warping technique that transforms
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Solved EE 569: Homework 2 Problem 1: Edge Detection (50 %) (a) Sobel Edge Detector (10%)
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Solved EE 569: Homework 1 Problem 1: Image Demosaicing and Histogram Manipulation (45%) (a) Bilinear Demosaicing (10%)
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EE 569 Homework #6: Feedforward CNN Design and Its Application to the MNIST Dataset solution
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EE 569: Homework #5: Image Recognition with CNN solution
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EE 569 Digital Image Processing: Homework #4 solution
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EE 569 Digital Image Processing: Homework #3 solution
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EE 569 Digital Image Processing: Homework #2 solution
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EE 569 Digital Image Processing: Homework #1 solution
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EE 569: Homework #6 Successive Subspace Learning solution
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EE 569: Homework #5 solution
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EE 569: Homework #4 solution
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EE569: Homework #3 solution
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Showing 1–16 of 18 resultsSorted by popularity