Image Understanding with TensorFlow on GCP

This 5-course specialization focuses on advanced machine learning topics using Google Cloud Platform where you will get hands-on experience optimizing, deploying, and scaling production ML models of various types in hands-on labs. This specialization picks up where "Machine Learning on GCP" left off and teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text. It ends with a course on building recommendation systems. Topics introduced in earlier courses are referenced in later courses, so it is recommended

( 29 Reviews )

Created by: Google Cloud Training

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Overall Score : 86 / 100

Course Description

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 TensorFlowCOMPLETION CHALLENGEComplete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details.

Time: 11h

Instructor Details

Google Cloud Training

4.3 Rating
29 Reviews

The Google Cloud Training team is responsible for developing, delivering and evaluating training that enables our enterprise customers and partners to use our products and solution offerings in an effective and impactful way. Google Cloud helps millions of organizations empower their employees, serve their customers, and build what's next for their businesses with innovative technology created in-and for-the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.

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Reviews

4.3

29 total reviews

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By Kartik . on 21-Sep-19

code not explained correctly

By Jeramia P on 7-Aug-19

Many things have changed in the labs and the instructions are no longer as clear and relevant as in other courses.

By Nikhileshkumar I on 15-Sep-19

greate course.

I would like to work with TPUs in one laboratory. Also, I would like to see how the pattern of image was formed throught the convolutional neural network in a lab.

By Armando F on 18-May-19

Highly recommended

By Mirko J R on 4-Apr-19

You should improve the explanation of Transfer Learning from prebuilt models like ResNet. The conceptual side is not clear.

By Hemant D K on 28-Nov-18

Good material

By Carlos V on 9-Dec-18

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.

By Roopesh N on 23-Dec-18