[Pagsusuri] Deep Learning with TensorFlow and Keras (Amita Kapoor) Nabuod.

Deep Learning with TensorFlow and Keras (Amita Kapoor)

- Amazon USA Store: https://www.amazon.com/dp/1803232919?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Deep-Learning-with-TensorFlow-and-Keras-Amita-Kapoor.html

- Apple Books: https://books.apple.com/us/audiobook/python-machine-learning-a-beginners-guide-to-python/id1504752983?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree

- eBay: https://www.ebay.com/sch/i.html?_nkw=Deep+Learning+with+TensorFlow+and+Keras+Amita+Kapoor+&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-with-TensorFlow-and-Keras-Amita-Kapoor.html
- Lazada: https://asia.buys.trade/lazada_Deep-Learning-with-TensorFlow-and-Keras-Amita-Kapoor.html
- Tiktok: https://asia.buys.trade/tiktok_Deep-Learning-with-TensorFlow-and-Keras-Amita-Kapoor.html

- Magbasa pa: https://tagalog.9natree.com/read/1803232919/

#TensorFlow2xatKeras #Convolutionalneuralnetworks #Transformersparasanaturallanguageprocessing #Generativeadversarialnetworks #TensorFlowLiteatdeployment #DeepLearningwithTensorFlowandKeras

Ang Deep Learning with TensorFlow and Keras, ikatlong edisyon, ni Amita Kapoor, Antonio Gulli, at Sujit Pal, ay isang teknikal na gabay sa pagbuo at pagde-deploy ng mga deep learning model gamit ang TensorFlow 2.x at Keras. Hindi ito aklat na nakatuon lang sa teorya ng artificial intelligence. Pinagdurugtong nito ang mahahalagang konsepto, Python code, at mga hakbang na kailangan upang gawing gumaganang aplikasyon ang isang modelo. Saklaw nito ang supervised at unsupervised learning, pati reinforcement learning, mula sa regression hanggang sa mas komplikadong neural network architecture. Kabilang sa mga paksang tinatalakay ang convolutional neural networks para sa imahe, recurrent neural networks at transformers para sa sequence at wika, generative adversarial networks, autoencoders, at graph neural networks. Mahalaga rin ang pagtuon nito sa paggamit ng TensorFlow sa cloud, mobile, at malalaking production environment. Layunin ng aklat na ipakita hindi lamang kung paano magsanay ng modelo, kundi kung paano pumili, suriin, i-optimize, at ihatid ito sa aktuwal na gamit.