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Image Understanding with TensorFlow on GCP, Google Cloud

59 個評分
12 個審閱


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...


創建者 EU

Sep 21, 2018

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

創建者 HM

Nov 16, 2018

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


11 個審閱

創建者 Raja Ranjith Garikapati

Dec 09, 2018

Great learning on Image ML models...

創建者 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.

創建者 Please

Dec 07, 2018


創建者 Anjani K Shiwakoti

Nov 28, 2018

Really interesting labs in this course!.Thank you!

創建者 Hemant Devidas Kshirsagar

Nov 28, 2018

Good material

創建者 Luiz Gustavo Martins

Nov 25, 2018

Great Course!

創建者 Harold Lawrence Marzan Mercado

Nov 16, 2018

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

創建者 Jun Wang

Nov 08, 2018

An excellent course. Clear, concise and comprehensive.

創建者 林佳佑

Nov 02, 2018

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

The AUTOML is fascinated technique for learning

創建者 Atichat Panno

Oct 05, 2018