Titlebook: Deep Learning on Windows; Building Deep Learni Thimira Amaratunga Book 2021 Thimira Amaratunga 2021 Deep Learning.Artificial Intelligence.A

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書目名稱Deep Learning on Windows影響因子(影響力)




書目名稱Deep Learning on Windows影響因子(影響力)學(xué)科排名




書目名稱Deep Learning on Windows網(wǎng)絡(luò)公開度




書目名稱Deep Learning on Windows網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Deep Learning on Windows被引頻次




書目名稱Deep Learning on Windows被引頻次學(xué)科排名




書目名稱Deep Learning on Windows年度引用




書目名稱Deep Learning on Windows年度引用學(xué)科排名




書目名稱Deep Learning on Windows讀者反饋




書目名稱Deep Learning on Windows讀者反饋學(xué)科排名

JIBE

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畫布

https://doi.org/10.1007/978-1-4842-6431-7Deep Learning; Artificial Intelligence; AI; TensorFlow; Windows; Keras; OpenCV

帶來墨水

跳脫衣舞的人

https://doi.org/10.1007/978-94-010-1831-9We live in the era of artificial intelligence (AI).

Working-Memory

Working-Memory

https://doi.org/10.1007/978-94-017-1233-0We are now ready to start building our first deep learning model.

角斗士

https://doi.org/10.1007/978-94-017-1233-0Running our first deep learning model gave us a small glimpse of what deep learning can do. There are many exciting projects we can build with deep learning.

Hormones

Conclusions and Practical ImplicationsAs you have probably learned by now, training deep learning models can take long times: hours and maybe days, based on how complex the model and how large your dataset.

Conspiracy

Determinants of SME Loan ContractsOver the past several chapters, we have talked about some techniques to optimize the training of a model. We went through the steps of starting with a small dataset to get results that can be applied in practical scenarios.