[Pagsusuri] Deep Learning from Scratch: Building with Python from First Principles (Seth Weidman) Nabuod.

Deep Learning from Scratch: Building with Python from First Principles (Seth Weidman) - Amazon USA Store: https://www.amazon.com/dp/1492041416?tag=9natree-20 - Amazon Worldwide Store: https://global.buys.trade/Deep-Learning-from-Scratch%3A-Building-with-Python-from-First-Principles-Seth-Weidman.html - eBay: https://www.ebay.com/sch/i.html?_nkw=Deep+Learning+from+Scratch+Building+with+Python+from+First+Principles+Seth+Weidman+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1 - Shopee: https://asia.buys.trade/shopee_Deep-Learning-from-Scratch-Seth-Weidman.html - Lazada: https://asia.buys.trade/lazada_Deep-Learning-from-Scratch-Seth-Weidman.html - Tiktok: https://asia.buys.trade/tiktok_Deep-Learning-from-Scratch-Seth-Weidman.html - Magbasa pa: https://tagalog.9natree.com/read/1492041416/ #Forwardpropagationatbackpropagation #Gradientdescentatlossfunction #Multilayerneuralnetwork #ConvolutionalneuralnetworkoCNN #RecurrentneuralnetworkoRNN #DeepLearningfromScratch Ang Deep Learning from Scratch: Building with Python from First Principles ni Seth Weidman ay isang teknikal na aklat tungkol sa pag-unawa at pagbuo ng neural network mula sa pinakapayak na bahagi nito. Inilathala ito ng O’Reilly noong 2019, at nakatuon sa mga data scientist at software engineer na mayroon nang batayang kaalaman sa Python, machine learning, at matematika. Sa halip na agad umasa sa mga high-level na library, ipinapakita ng aklat kung paano gumagana ang mga layer, pagdaan ng datos sa modelo, loss function, at pag-update ng mga parameter. Unti-unting binubuo ng mambabasa ang mga pangunahing bahagi gamit ang Python, bago ilapat ang parehong mga ideya sa PyTorch. Saklaw rin nito ang multilayer neural networks, convolutional neural networks o CNN, at recurrent neural networks o RNN. Hindi ito simpleng gabay sa paggamit ng isang tool. Layunin nitong linawin ang matematikal, computational, at konseptuwal na mekanismo sa likod ng deep learning, upang masuri at maipatupad ng mambabasa ang mga modelo nang may malinaw na pag-unawa.