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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
01:15:45 Advanced Machine Learning 2022 - day 16 Recurrent… Advanced Machine Learning 2022 - day 16 Recurrent Neural Networks	Advanced Machine Learning 2022 - day 16 Recurrent Neural Networks Recurrent neural networks; Jordan Networks; Elman Networks; SimpleRNN output layer network step outputs things point parameters examples input goal bit signal monkey error inputs sort scenario units timestep From Andrew Fagg 0 likes 2 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 16 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 4 plays 0
01:00:57 Class Video 7-8-21 Class Video 7-8-21	Class Video 7-8-21 milliliters moles concentration question exam answer volume liters grams solution liter times units problem figures acid guys questions point molarity From Leena Nabulsi 0 likes 0 plays 0
01:30:53 Class Video 6-14-21 Class Video 6-14-21	Class Video 6-14-21 guys questions question hat units things lab chemistry syllabus class recitation thing canvas grams lecture conversion unit screen videos sense From Leena Nabulsi 0 likes 13 plays 0
13:11 0.1-0.4 Pre-Class Lecture Video 0.1-0.4 Pre-Class Lecture Video	0.1-0.4 Pre-Class Lecture Video units centimeters meters grams unit inches milliliter numbers density 12th guys decimal zeros centimeter times bottom thing class monday homework notation method From Leena Nabulsi 0 likes 50 plays 0
49:41 AME 3623 - Day 26 AME 3623 - Day 26	AME 3623 - Day 26 Task Scheduling practice; Shortest Job First; Worst Case Execution Time vchr3051 task milliseconds priority tasks scheduling period execution units job algorithm rate cpu thing bit questions monotonic algorithms cameras unit b. From Andrew Fagg 0 likes 21 plays 0
01:17:14 Advanced Machine Learning - Day 20 Advanced Machine Learning - Day 20	Advanced Machine Learning - Day 20 Recurrent Neural Networks vs Convolutional Neural Networks vchr3051 output input layer words inputs parameters images cnn architecture networks word step network things idea bit rnn units lot sentence From Andrew Fagg 0 likes 29 plays 0
01:15:27 AME 3623 - Day 15 AME 3623 - Day 15	AME 3623 - Day 15 Representing negative numbers vchr3051 bit numbers bits digit point representation pattern questions addition decimal units zeros representations control eighths things algorithm integer int operations From Andrew Fagg 0 likes 21 plays 0
50:41 01-27-21 lecture 01-27-21 lecture	01-27-21 lecture pipette questions volume class question solution tip liter lab molarity units concentrations moles color weight grams exam lecture sodium microliters From Naga Rama Kothapalli 0 likes 6 plays 0
59:17 Lecture 2-19-21 Lecture 2-19-21	Lecture 2-19-21 In this lecture, we will briefly discuss about the ionization of amino acids and pI of peptides. charge ph ion protein amino acid phase point proton exchange pka peptide separation chromatography acids question questions exchanger resin units From Naga Rama Kothapalli 0 likes 6 plays 0
01:20:53 Advanced Machine Learning - Day 5 Advanced Machine Learning - Day 5	Advanced Machine Learning - Day 5 First network in Keras; Jupyter lab vchr3051 model things training parameters layer inputs lot tensorflow bit units function validation point loss output epoch step input thing examples From Andrew Fagg 0 likes 31 plays 0
01:18:47 Advanced Machine Learning - Day 4 Advanced Machine Learning - Day 4	Advanced Machine Learning - Day 4 Backpropagation derivation. vchr3051 layer unit error question output derivative respect input term function units thing influence sum network dx neurons questions bit weights From Andrew Fagg 0 likes 22 plays 0