Titlebook: State-of-the-Art Deep Learning Models in TensorFlow; Modern Machine Learn David Paper Book 2021 David Paper 2021 Google Colab.Colaboratory

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書目名稱State-of-the-Art Deep Learning Models in TensorFlow影響因子(影響力)




書目名稱State-of-the-Art Deep Learning Models in TensorFlow影響因子(影響力)學(xué)科排名




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Coronary

obstinate

放氣

失望未來

Progressive Growing Generative Adversarial Networks,training generator models to generate large high-quality images up to about 1024 × 1024 pixels (as of this writing). The approach has proven effective at generating high-quality synthetic faces that are startlingly realistic.

芳香一點

Object Detection,unding boxes around one or more effective targets located in a still image or video data. An . is the object of interest in the image or video data that is being investigated. The effective target (or targets) should be known at the beginning of the task.

crescendo

http://image.papertrans.cn/s/image/876148.jpg

Harness

https://doi.org/10.1007/978-1-4842-7341-8Google Colab; Colaboratory Cloud; TensorFlow 2; x; Deep Learning Models; Tensors; tf; data API; tf; data Data

濃縮

輕率看法

TensorFlow Datasets,We introduce TensorFlow Datasets by discussing and demonstrating their many facets with code examples. Although TensorFlow Datasets are not ML models, we include this chapter because we use them in many of the chapters in this book. These datasets are created by the TensorFlow team to provide a diverse set of data for practicing ML experiments.