Episode Details

Deep Learning: Foundations and Concepts (Christopher M. Bishop)

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Ang Deep Learning: Foundations and Concepts nina Christopher M. Bishop at Hugh Bishop ay isang teknikal na aklat-aralin tungkol sa mga pangunahing ideya, matematika, at makabagong arkitektura ng deep learning. Hindi ito nakatuon sa isang programming framework o mabilisang recipe para gumawa ng modelo. Sa halip, ipinapaliwanag nito kung bakit gumagana ang mahahalagang pamamaraan, mula sa probabilidad at estadistika hanggang sa pagsasanay ng malalalim na neural network. Saklaw ng aklat ang supervised at unsupervised learning, regression at classification, gradient descent, backpropagation, regularization, convolutional network, transformer, graph neural network, at mga generative model. Ginagamit ang paliwanag sa salita, diagram, pormula, at pseudo-code upang mailapit ang teknikal na konsepto sa mambabasang may iba ibang paraan ng pagkatuto. Layunin nitong bumuo ng matibay at pangmatagalang pag-unawa, hindi lamang maghabol sa mga pansamantalang uso sa AI. Dahil dito, ang aklat ay nagsisilbing tulay mula sa pundasyong matematika patungo sa mga modelong mahalaga sa kasalukuyang computer vision, pagproseso ng wika, agham, at iba pang praktikal na gamit ng AI.