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Вернуться к Image Understanding with TensorFlow on GCP

Image Understanding with TensorFlow on GCP, Google Cloud

Оценки: 59
Рецензии: 12

Об этом курсе

This is the third course of the Advanced Machine Learning on GCP specialization. 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. Prerequisites: Basic SQL, familiarity with Python and TensorFlow...

Лучшие рецензии

автор: EU

Sep 21, 2018

A very good course, with cutting edge research about Deep Learning, Go google :-) !

автор: HM

Nov 16, 2018

Very good course on CNNs. The labs were cool. Thank you!

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Рецензии: 11

автор: Raja Ranjith Garikapati

Dec 09, 2018

Great learning on Image ML models...

автор: Carlos Viejo

Dec 09, 2018

The course provides an excellent overview of Image Understanding with TF and the utilization of all the capabilities of GCP to build productionable image systems.

автор: Please

Dec 07, 2018


автор: Anjani K Shiwakoti

Nov 28, 2018

Really interesting labs in this course!.Thank you!

автор: Hemant Devidas Kshirsagar

Nov 28, 2018

Good material

автор: Luiz Gustavo Martins

Nov 25, 2018

Great Course!

автор: Harold Lawrence Marzan Mercado

Nov 16, 2018

Very good course on CNNs. The labs were cool. Thank you!

автор: Jun Wang

Nov 08, 2018

An excellent course. Clear, concise and comprehensive.

автор: 林佳佑

Nov 02, 2018

this Courser teach a ongoing technique in GCP, and the world

The AUTOML is fascinated technique for learning

автор: Atichat Panno

Oct 05, 2018