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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 4 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
01:16:55 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
01:17:14 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 38 plays 0
01:11:29 Advanced Machine Learning - Day 16 Advanced Machine Learning - Day 16	Advanced Machine Learning - Day 16 Recurrent Neural Networks vchr3051 output input model network inputs layer tensor parameters outputs inception images image things training module problem bit tensors error process From Andrew Fagg 0 likes 38 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 37 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