PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\[Guvi.in] Deep Learning Course\DL#103 - Sigmoid Neuron\PDFs |
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Lesson+10_+Learning+-+Learning+by+guessing.pdf | 73 KB | 12/12/2021 3:34 AM |
Lesson+11_+Learning+-+Error+Surfaces+for+learning.pdf | 68 KB | 12/12/2021 3:34 AM |
Lesson+12_+Learning+-+Mathematical+setup+for+the+learning+algorithm.pdf | 141 KB | 12/12/2021 3:34 AM |
Lesson+13_+Learning+-+The+math-free+version+of+the+learning+algorithm.pdf | 225 KB | 12/12/2021 3:34 AM |
Lesson+14_+Learning+-+Introducing+Taylor+Series.pdf | 162 KB | 12/12/2021 3:34 AM |
Lesson+15_+Learning+-+More+intuitions+about+Taylor+series.pdf | 227 KB | 12/12/2021 3:34 AM |
Lesson+16_+Learning+-+Deriving+the+Gradient+Descent+Update+Rule.pdf | 248 KB | 12/12/2021 3:34 AM |
Lesson+17_+Learning+-+The+complete+learning+algorithm.pdf | 163 KB | 12/12/2021 3:34 AM |
Lesson+18_+Learning+-+Computing+Partial+Derivatives.pdf | 170 KB | 12/12/2021 3:34 AM |
Lesson+19_+Learning+-+Writing+the+code.pdf | 104 KB | 12/12/2021 3:34 AM |
Lesson+20_+Sigmoid+-+Dealing+with+more+than+2+parameters.pdf | 221 KB | 12/12/2021 3:34 AM |
Lesson+21_+Sigmoid+-+Evaluation.pdf | 146 KB | 12/12/2021 3:34 AM |
Lesson+22_+Summary+and+take-aways.pdf | 130 KB | 12/12/2021 3:34 AM |
Lesson+2_+Revisiting+limitations+of+perceptron+model.pdf | 1,413 KB | 12/12/2021 3:34 AM |
Lesson+3_+Sigmoid+Model+Part+1.pdf | 42 KB | 12/12/2021 3:34 AM |
Lesson+40_+Probability+Theory+Introduction.pdf | 176 KB | 12/12/2021 3:34 AM |
Lesson+41_+Random+Variable+-+Intuition.pdf | 159 KB | 12/12/2021 3:34 AM |
Lesson+42_+Random+Variable+-+Formal+Definition.pdf | 258 KB | 12/12/2021 3:34 AM |
Lesson+43_+Random+Variable+-+Continuous+and+Discrete.pdf | 34 KB | 12/12/2021 3:34 AM |
Lesson+44_+Probability+Distribution.pdf | 139 KB | 12/12/2021 3:34 AM |
Lesson+45_+True+and+Predicted+Distribution.pdf | 36 KB | 12/12/2021 3:34 AM |
Lesson+46_+Certain+Events.pdf | 36 KB | 12/12/2021 3:34 AM |
Lesson+47_+Why+do+we+care+about+distributions_.pdf | 37 KB | 12/12/2021 3:34 AM |
Lesson+48_+Information+Theory+Expectation.pdf | 223 KB | 12/12/2021 3:34 AM |
Lesson+49_+Information+Content.pdf | 152 KB | 12/12/2021 3:34 AM |
Lesson+4_+Sigmoid+Model+Part+2.pdf | 53 KB | 12/12/2021 3:34 AM |
Lesson+50_+Entropy.pdf | 147 KB | 12/12/2021 3:34 AM |
Lesson+51_+Relation+To+Number+Of+Bits.pdf | 157 KB | 12/12/2021 3:34 AM |
Lesson+52_+KL-Divergence+and+Cross+Entropy.pdf | 69 KB | 12/12/2021 3:34 AM |
Lesson+53_+Sigmoid+Neuron+and+Cross+Entropy.pdf | 156 KB | 12/12/2021 3:34 AM |
Lesson+54_+Using+Cross+Entropy+With+Sigmoid+Neuron.pdf | 244 KB | 12/12/2021 3:34 AM |
Lesson+55_+Learning+Algorithm+for+Cross+Entropy+loss+function.pdf | 168 KB | 12/12/2021 3:34 AM |
Lesson+56_+Computing+partial+derivatives+with+cross+entropy+loss.pdf | 92 KB | 12/12/2021 3:34 AM |
Lesson+57_+Code+for+Cross+Entropy+Loss+function.pdf | 76 KB | 12/12/2021 3:34 AM |
Lesson+5_+Sigmoid+Model+Part+3.pdf | 99 KB | 12/12/2021 3:34 AM |
Lesson+6_+Sigmoid+Model+Part+4.pdf | 36 KB | 12/12/2021 3:34 AM |
Lesson+7_+Sigmoid+-+Data+and+Tasks.pdf | 40 KB | 12/12/2021 3:34 AM |
Lesson+8_+Sigmoid+-+Loss+Function.pdf | 128 KB | 12/12/2021 3:34 AM |
Lesson+9_+Learning+-+Intro+to+Learning+Algorithm.pdf | 35 KB | 12/12/2021 3:34 AM |