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01:15:41 Advanced Machine Learning 2022 - day 22… Advanced Machine Learning 2022 - day 22 Transformers	Advanced Machine Learning 2022 - day 22 Transformers Transformers in Detail words word things point output attention matrix side images network representation input connections kinds lot couple representations image parameters gradient 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
29:04 Advanced Machine Learning 2022 - Generators Advanced Machine Learning 2022 - Generators	Advanced Machine Learning 2022 - Generators Generators, ImageDataGenerators images generator validation training image batch dataset batches process object epoch loop things homework range testing step gradient desk memory From Andrew Fagg 0 likes 9 plays 0
01:16:55 Advanced Machine Learning 2022 - day 05 First… Advanced Machine Learning 2022 - day 05 First Learning Experiment	Advanced Machine Learning 2022 - day 05 First Learning Experiment Using Jupyter Lab, Building an XOR network layer input units output things point model error network inputs gradient bit direction step parameters pattern function gpu thing epoch From Andrew Fagg 0 likes 19 plays 0
01:15:50 Advanced Machine Learning 2022 - day 03 Advanced Machine Learning 2022 - day 03	Advanced Machine Learning 2022 - day 03 Computing error gradients with a single computing element layer questions derivative function respect output error term units summation sum things process slope side input gradient learning point derivatives From Andrew Fagg 0 likes 10 plays 0
52:10 Lecture 24: Map Analysis Lecture 24: Map Analysis	Lecture 24: Map Analysis front temperature pressure fronts lot clouds surface wind gradient station air kind side things weather types change point maps contour From Elinor Martin 0 likes 11 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
41:33 02-24-21 Lecture (part 2) 02-24-21 Lecture (part 2)	02-24-21 Lecture (part 2) CHEM3753 Lecture Completing Ion Exchange chromatography discussion. protein gradient proteins volume column size charge ph buffer separation lysozyme columns linear questions exchange weight beads gel chromatography step From Naga Rama Kothapalli 0 likes 7 plays 0
01:17:20 Advanced Machine Learning - Day 3 Advanced Machine Learning - Day 3	Advanced Machine Learning - Day 3 vchr3051 layer function derivative error sum comma input gradient term things descent output parameters inputs parameter unit respect w. point questions From Andrew Fagg 0 likes 44 plays 0