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Advanced Machine Learning 2022 - Day 13… duration 1 hour 19 minutes Advanced Machine Learning 2022 - Day 13… Advanced Machine Learning 2022 - Day 13 Convolutional Neural Network Architectures	Advanced Machine Learning 2022 - Day 13 Convolutional Neural Network Architectures Convolutional Neural Networks; building image recognition networks; categorical cross-entropy; binary cross-entropy classes image batch rows columns thread max function bit filters class things parameters input generator images layer convolution threads size From Andrew Fagg 0 likes 14 plays 0
Advanced Machine Learning 2022 - ArgumentParser… duration 10 minutes 52 seconds Advanced Machine Learning 2022 - ArgumentParser… Advanced Machine Learning 2022 - ArgumentParser tricks	Advanced Machine Learning 2022 - ArgumentParser tricks Using parameter files with ArgumentParser layer things dot parameters epochs max filters layers options text option resolution network oscar files cetera size command convolution end From Andrew Fagg 0 likes 5 plays 0
Cooper Duncan MIS 3033 Homework 3 duration 5 minutes 19 seconds Cooper Duncan MIS 3033 Homework 3 Cooper Duncan MIS 3033 Homework 3	Cooper Duncan MIS 3033 Homework 3 Next betterluck filter language country box lot tv tdma things filters rating shows txt question machine kinda bye english issue minutes usa From Cooper Duncan 0 likes 13 plays 0
Advanced Machine Learning - Day 27 duration 1 hour 15 minutes Advanced Machine Learning - Day 27 Advanced Machine Learning - Day 27	Advanced Machine Learning - Day 27 HW 7; Generative Adversarial Networks vchr3051 images training image convolution discriminator generator step parameters pathway channels memory lot validation bit process model sense operation steps filters From Andrew Fagg 0 likes 24 plays 0
Advanced Machine Learning - Day 13 duration 1 hour 4 minutes Advanced Machine Learning - Day 13 Advanced Machine Learning - Day 13	Advanced Machine Learning - Day 13 Convolutional Neural Networks: convolution and pooling layers; building an image recognizer vchr3051 image layer filter parameters pixels input filters dimensionality convolution channels stride kinds cell layers network edges output rows size access From Andrew Fagg 0 likes 32 plays 0