PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\[Guvi.in] Deep Learning Course\DL#106 - Optimization Algorithms\PDFs

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Lesson+10_+A+disadvantage+of+momentum+based+gradient+descent.pdf57 KB12/12/2021 3:34 AM
Lesson+11_+Intuition+behind+nesterov+accelerated+gradient+descent.pdf142 KB12/12/2021 3:34 AM
Lesson+12_+Running+and+visualizing+nesterov+accelerated+gradient+descent.pdf215 KB12/12/2021 3:34 AM
Lesson+13_+Summary+and+what+next.pdf35 KB12/12/2021 3:34 AM
Lesson+14_+The+idea+of+stochastic+and+mini-batch+gradient+descent.pdf55 KB12/12/2021 3:34 AM
Lesson+15_+Running+stochastic+gradient+descent.pdf120 KB12/12/2021 3:34 AM
Lesson+16_+Running+mini-batch+gradient+descent.pdf206 KB12/12/2021 3:34 AM
Lesson+17_+Epochs+and+Steps.pdf82 KB12/12/2021 3:34 AM
Lesson+18_+Why+do+we+need+an+adaptive+learning+rate+_.pdf151 KB12/12/2021 3:34 AM
Lesson+19_+Introducing+Adagrad.pdf143 KB12/12/2021 3:34 AM
Lesson+1_+A+quick+history+of+DL+to+set+the+context.pdf109 KB12/12/2021 3:34 AM
Lesson+20_+Running+and+Visualizing+Adagrad.pdf135 KB12/12/2021 3:34 AM
Lesson+21_+A+limitation+of+Adagrad.pdf33 KB12/12/2021 3:34 AM
Lesson+22_+Running+and+visualizing+RMSProp.pdf297 KB12/12/2021 3:34 AM
Lesson+23_+Running+and+visualizing+Adam.pdf298 KB12/12/2021 3:34 AM
Lesson+24_+Summary.pdf36 KB12/12/2021 3:34 AM
Lesson+2_+Highlighting+a+limitation+of+Gradient+Descent.pdf109 KB12/12/2021 3:34 AM
Lesson+3_+A+deeper+look+into+the+limitation+of+gradient+descent.pdf163 KB12/12/2021 3:34 AM
Lesson+40_+Setting+the+context.pdf134 KB12/12/2021 3:34 AM
Lesson+41_+Saturation+in+logistic+neuron.pdf88 KB12/12/2021 3:34 AM
Lesson+42_+Zero+centered+functions.pdf321 KB12/12/2021 3:34 AM
Lesson+43_+Introducing+Tanh+and+Relu+activation+functions.pdf129 KB12/12/2021 3:34 AM
Lesson+44_+Tanh+and+ReLU+Activation+Functions.pdf194 KB12/12/2021 3:34 AM
Lesson+45_+Symmetry+Breaking+Problem.pdf161 KB12/12/2021 3:34 AM
Lesson+46_+Xavier+and+He+initialization.pdf232 KB12/12/2021 3:34 AM
Lesson+47_+Summary+and+what+next.pdf961 KB12/12/2021 3:34 AM
Lesson+4_+Introducing+contour+maps.pdf74 KB12/12/2021 3:34 AM
Lesson+56_+Simple+v_s+complex+models.pdf136 KB12/12/2021 3:34 AM
Lesson+57_+Analysing+the+behavior+of+simple+and+complex+models.pdf129 KB12/12/2021 3:34 AM
Lesson+58_+Bias+and+Variance.pdf134 KB12/12/2021 3:34 AM
Lesson+59_+Test+error+due+to+high+bias+and+high+variance.pdf171 KB12/12/2021 3:34 AM
Lesson+5_+Exercise+-+Guess+the+3D+surface.pdf223 KB12/12/2021 3:34 AM
Lesson+60_+Overfitting+in+deep+neural+networks.pdf81 KB12/12/2021 3:34 AM
Lesson+61_+A+detour+into+hyperparameter+tuning.pdf71 KB12/12/2021 3:34 AM
Lesson+62_+L2+regularization.pdf195 KB12/12/2021 3:34 AM
Lesson+63_+Dataset+Augmentation+and+Early+Stopping.pdf49 KB12/12/2021 3:34 AM
Lesson+64_+Summary.pdf76 KB12/12/2021 3:34 AM
Lesson+6_+Visualizing+gradient+descent+on+a+2D+contour+map.pdf269 KB12/12/2021 3:34 AM
Lesson+7_+Intuition+for+momentum+based+gradient+descent.pdf142 KB12/12/2021 3:34 AM
Lesson+8_+Dissecting+the+update+rule+for+momentum+based+gradient+descent.pdf144 KB12/12/2021 3:34 AM
Lesson+9_+Running+and+Visualizing+momentum+based+gradient+descent.pdf160 KB12/12/2021 3:34 AM