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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Build TensorFlow Input Pipelines,Input pipelines are the lifeblood of any deep learning experiment because learning models expect data in a TensorFlow consumable form. It is very easy to create high-performance pipelines with the tf.data.Dataset abstraction (a component of the tf.data API) because it represents a sequence of elemen

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Stacked Autoencoders, and predict outcomes accurately. The remaining chapters focus on unsupervised learning algorithms. . uses ML algorithms to analyze and cluster . datasets. Such algorithms discover hidden patterns or data groupings ..

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Fast Style Transfer,utput image retains the core elements of the content image but appears to be painted in the style of the style reference image. The output image from a NST network is called a pastiche. A . is a work of visual art, literature, theater or music that imitates the style (or character) of the work of on

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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.

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Wolfgang Blättchenovement for the poachers. The motivation for this design is to assess whether executing the Stackelberg game yields significantly better ranger performance than random movement, while keeping the poachers’ behaviour consistent. The intelligent poachers move by taking their geographical preferences i