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Titlebook: Applied Neural Networks with TensorFlow 2; API Oriented Deep Le Orhan Gazi Yal??n Book 2021 Orhan Gazi Yal??n 2021 Deep Learning.TensorFlow

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樓主: 馬用
41#
發(fā)表于 2025-3-28 14:40:11 | 只看該作者
Book 2021n data augmentation and batch normalization methods. Then, the Fashion MNIST dataset will be used to train a CNN. CIFAR10 and Imagenet pre-trained models will be loaded to create already advanced CNNs.. Finally, move into theoretical applications and unsupervised learning with auto-encoders and rein
42#
發(fā)表于 2025-3-28 19:54:11 | 只看該作者
43#
發(fā)表于 2025-3-29 00:26:30 | 只看該作者
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發(fā)表于 2025-3-29 04:30:18 | 只看該作者
Deep Learning and Neural Networks Overview,on for deep learning’s increasing popularity: .. Especially when there are abundant data and available processing power, deep learning is the choice of machine learning experts. The performance comparison between deep learning and traditional machine learning algorithms is shown in Figure 3-1.
45#
發(fā)表于 2025-3-29 08:06:31 | 只看該作者
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發(fā)表于 2025-3-29 13:11:23 | 只看該作者
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發(fā)表于 2025-3-29 19:19:19 | 只看該作者
48#
發(fā)表于 2025-3-29 21:54:35 | 只看該作者
49#
發(fā)表于 2025-3-30 00:37:40 | 只看該作者
Natural Language Processing,artificial intelligence. NLP is mainly concerned with the interaction between humans and computers. The scope of NLP ranges from computational understanding and generation of human languages to processing and analyzing large amounts of natural language data. The scope of NLP also contains text, spee
50#
發(fā)表于 2025-3-30 05:11:02 | 只看該作者
Recommender Systems, and the features of the items. These recommendations can vary from which movies to watch to what products to purchase, from which songs to listen to which services to receive. The goal of recommender systems is to suggest the right items to the user to build a trust relationship to achieve long-ter
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