Programming Tasks and Tutorial Library
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COMS4771 HW2
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COMS4771 HW3
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COMS4771 HW4
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COMS6998-Homework 1 Linear Separability,Bias Variance Tradeoff, Regularization and OpenML, Algorithmic Performance Scaling
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COMS6998-Homework 2 Perceptron,Weight Initialization, Dead Neurons, Leaky ReLU and Batch Normalization, Dropout, MNIST
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COMS6998-Homework 3 Adaptive Learning Rate Methods, CIFAR-10 and TF 2.0, Tensorflow.distribute.strategy, Strong and Weak Scaling Solved
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COMS6998-Homework 4 Transfer learning: Shallow learning vs Finetuning, Pytorch and Weakly and Semi-Supervised Learning for Image Classification
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COMS6998-Homework 5 SSD, ONNX model, Visualization, Inferencing , ML Cloud Platforms and Kubeflow, MiniKF, Kale Solved
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COMSCI260-Homework 1 Linear Logistic Regression Model & Linear SVM model on MNIST Dataset
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COMSCI31 – Project 1 –
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COMSCI31 – Project 4 –
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COMSCI31 – Project 6 –
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Showing 4453–4464 of 27269 results
