Monday, November 25, 2024
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Last comments on training CNNs, start SVMs
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Thursday, November 21, 2024
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Fashion mnist with mixup
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fashionmixupcombination.txt
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Tuesday, November 19, 2024
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Recap from yesterday's work, more keras/tensorflow
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Monday, November 18, 2024
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In class work w/ tensorflow and keras to train MNIST
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Thursday, November 14, 2024
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finish Optimizers, CNN architectures
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Tuesday, November 12, 2024
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Cutout, mixUp, Learning rate Schedules, Optimizers
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Monday, November 11, 2024
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Softmax, Dropout, Dataset Augmentation, other regularization
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Thursday, November 07, 2024
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Introduction to keras, tensorflow
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nn1.py (implementation of homework but using tensorflow/keras)
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nn-for-google-colab.py
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Tuesday, November 05, 2024
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Normalization, Batch Normalization, Stochastic Gradient Descent (SGD), Xavier Weight Initialization, Data Shuffling before each epoch
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Monday, November 04, 2024
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finish looking at pseudocode and numpy tips, discuss problems like overfitting, underfitting, vanishing gradients, and ways to combat these problems, different activation functions
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Thursday, October 31, 2024
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continue Convolutional Neural Networks, look at NN online, revisit psuedocode for learning in a NN
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psuedocode for learning in a NN (no bias)
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psuedocode for learning in a NN with bias units and numpy hints
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Tuesday, October 29, 2024
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continue Convolutional Neural Networks
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Monday, October 28, 2024
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finish discussion of learning in a fully connected NN, start Convolutional Neural Networks
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Thursday, October 24, 2024
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continue NNs, complete learning algorithm (forward prop, backprop, gradient descent, weight updates)
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Tuesday, October 22, 2024
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continue NNs, Gradient Descent
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Monday, October 21, 2024
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last comments on Regularization, why Neural Networks, start Neural Networks
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Thursday, October 17, 2024
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continue Logistic Regression, introduce Regularization
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Tuesday, October 15, 2024
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start Logistic Regression
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Monday, October 14, 2024
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recap Linear Regression, more numpy and look at code for homework 2 for Linear Regression / Gradient Descent
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Thursday, October 10, 2024
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finish Linear Regression example, extending to learn higher order polynomials
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Spreadsheet with Linear Regression
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Tuesday, October 08, 2024
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more Linear Regression, Gradient Descent algorithm
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Thursday, October 03, 2024
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More numpy useful for assignment
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Machine Learning introduction, start Linear Regression
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Tuesday, October 01, 2024
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More about the assignment
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in-class exercises (with my answers)
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Monday, September 30, 2024
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K-nearest-neighbors
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Thursday, September 26, 2024
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more openCV and numpy, write code for YCbCr conversion
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ycbcrprogram.py.txt
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classwork20240926.ipynb
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info about tutorial on openCV
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Info about tutorial on numpy
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Tuesday, September 24, 2024
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Introduction to openCV and numpy
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List of functionality presented
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Jupyter notebook 1
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Jupyter notebook 2
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Monday, September 23, 2024
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In-class exercises on recent material
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solutions
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Thursday, September 19, 2024
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some Region properties, histograms, distance measures
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Tuesday, September 17, 2024
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Connected Components, Morphology examples
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Morphology java code and Lincoln images
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Monday, September 16, 2024
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revisit in-class exercises, Binary Image Morpholgy and uses, start Connected Components
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Thursday, September 12, 2024
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more with 2nd Derivative masks, Determining angle/magnitude of edges using prewitt, example edge detection on an image, in-class exercises
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Tuesday, September 10, 2024
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another example of HSV usage, start Cross-correlation (with blurring, 1st derivative (edge), 2nd derivative masks)
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Monday, September 9, 2024
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problems in digital images, HSV color space, HSV usage
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Thursday, September 5, 2024
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Introduction, start course content
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