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01:17:50 Advanced Machine Learning 2022 - day 23… Advanced Machine Learning 2022 - day 23 Convolutional Autoencoders	Advanced Machine Learning 2022 - day 23 Convolutional Autoencoders Convolutional Autoencoders image channels things convolution dimensionality images representation class input columns rows thing max kinds point layers layer pixels kind pixel From Andrew Fagg 0 likes 6 plays 0
01:15:37 Advanced Machine Learning 2022 - day 18 Gated… Advanced Machine Learning 2022 - day 18 Gated Recurrent Networks	Advanced Machine Learning 2022 - day 18 Gated Recurrent Networks Gated Recurrent Networks. Hierarchical recurrent networks. things layer network bit dimensionality function point memory inception units idea layers problem kinds unit question convolution input thing gradient From Andrew Fagg 0 likes 4 plays 0
01:14:29 Advanced Machine Learning 2022 - day 17 Recurrent… Advanced Machine Learning 2022 - day 17 Recurrent Neural Networks and Gating	Advanced Machine Learning 2022 - day 17 Recurrent Neural Networks and Gating Homework 4; recurrent neural networks; mathematics of gating output parameters hat bit things function network inception convolution units gradient input lot problem architecture step outputs sequences rotation features From Andrew Fagg 0 likes 2 plays 0
01:12:53 Advanced Machine Learning 2022 - day 15 Model API Advanced Machine Learning 2022 - day 15 Model API	Advanced Machine Learning 2022 - day 15 Model API Keras Model API, nesting models; HW 4 introduction model input things image inception layer convolution images output tensor bit layers parameters module network homework models questions lot tensors From Andrew Fagg 0 likes 2 plays 0
01:17:54 Advanced Machine Learning 2022 - day 14… Advanced Machine Learning 2022 - day 14 Convolutional Neural Netowrks	Advanced Machine Learning 2022 - day 14 Convolutional Neural Netowrks Convolutional neural networks; data augmentation; ImageDataGenerator; creating branching networks tensor input image function convolution things layer output model images object augmentation tensors node class gpu parameters inputs thing rows From Andrew Fagg 0 likes 3 plays 0
01:19:00 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 6 plays 0
10:52 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 4 plays 0
01:14:16 Advanced Machine Learning 2022 - day 11… Advanced Machine Learning 2022 - day 11 Convolutional Neural Networks	Advanced Machine Learning 2022 - day 11 Convolutional Neural Networks HW 1; Two-sample vs paired sample hypothesis tests. Convolutional Neural Networks image distribution test things kinds difference convolution bit performance training retina point homework points neurons deviation values feature neuron lot From Andrew Fagg 0 likes 12 plays 0
01:15:08 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 23 plays 0
01:20:17 Advanced Machine Learning - Day 26 Advanced Machine Learning - Day 26	Advanced Machine Learning - Day 26 Convolutional Autoencoders in practice vchr3051 channels class pixel network images training output layer bit things channel layers tensor convolution classes input files size image lot From Andrew Fagg 0 likes 40 plays 0
01:17:07 Advanced Machine Learning - Day 15 Advanced Machine Learning - Day 15	Advanced Machine Learning - Day 15 HW 4 (CNNs); Keras Model API (building bigger models) vchr3051 layer output input tensor network model things training inception channels module gradient convolution generator step lot images question function bit From Andrew Fagg 0 likes 56 plays 0
01:04:09 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 24 plays 0