Pluralsight – Image Understanding with TensorFlow on GCP-BOOKWARE-KNiSO
English | Size: 1.28 GB
Category: Tutorial
Release Notes: In this course, we will take a look at different strategies for building an image classifier using convolutional neural networks. We’ll improve the model’s accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting our data We will also look at practical issues that arise, for example, when you don t have enough data and how to incorporate the latest research findings into our models. You will get hands-on practice building and optimizing your own image classification models on a variety of public datasets in the labs we ll work on together
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https://rapidgator.net/file/5f9904543e7447facb6328bb2ed53b39/PluralSight.Image.Understanding.with.TensorFlow.on.GCP-BOOKWARE-KNiSO.part1.rar.html
https://rapidgator.net/file/78c46d0376160541abc8d10edfda840b/PluralSight.Image.Understanding.with.TensorFlow.on.GCP-BOOKWARE-KNiSO.part2.rar.html
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https://nitroflare.com/view/3B74F5336690FF7/PluralSight.Image.Understanding.with.TensorFlow.on.GCP-BOOKWARE-KNiSO.part2.rar
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