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The Deep Learning Workshop
更新时间：2021-06-11 18:54:14
最新章节：7. Generative Adversarial Networks开会员，本书免费读 >
Areyoufascinatedbyhowdeeplearningpowersintelligentapplicationssuchasself-drivingcars,virtualassistants,facialrecognitiondevices,andchatbotstoprocessdataandsolvecomplexproblems?Whetheryouarefamiliarwithmachinelearningorarenewtothisdomain,TheDeepLearningWorkshopwillmakeiteasyforyoutounderstanddeeplearningwiththehelpofinterestingexamplesandexercisesthroughout.Thebookstartsbyhighlightingtherelationshipbetweendeeplearning,machinelearning,andartificialintelligenceandhelpsyougetcomfortablewiththeTensorFlow2.0programmingstructureusinghands-onexercises.You’llunderstandneuralnetworks,thestructureofaperceptron,andhowtouseTensorFlowtocreateandtrainmodels.Thebookwillthenletyouexplorethefundamentalsofcomputervisionbyperformingimagerecognitionexerciseswithconvolutionalneuralnetworks(CNNs)usingKeras.Asyouadvance,you’llbeabletomakeyourmodelmorepowerfulbyimplementingtextembeddingandsequencingthedatausingpopulardeeplearningsolutions.Finally,you’llgettogripswithbidirectionalrecurrentneuralnetworks(RNNs)andbuildgenerativeadversarialnetworks(GANs)forimagesynthesis.Bytheendofthisdeeplearningbook,you’llhavelearnedtheskillsessentialforbuildingdeeplearningmodelswithTensorFlowandKeras.
品牌：中图公司
上架时间：2020-07-31 00:00:00
出版社：Packt Publishing
本书数字版权由中图公司提供，并由其授权上海阅文信息技术有限公司制作发行
The Deep Learning Workshop最新章节
查看全部- 7. Generative Adversarial Networks
- 6. LSTMs GRUs and Advanced RNNs
- 5. Deep Learning for Sequences
- 4. Deep Learning for Text – Embeddings
- 3. Image Classification with Convolutional Neural Networks (CNNs)
- 2. Neural Networks
- 1. Building Blocks of Deep Learning
- Appendix
- Summary
- Deep Convolutional GANs
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