This course covers designing and building a TensorFlow input data pipeline, building ML models with TensorFlow and Keras, improving the accuracy of ML models, writing ML models for scaled use, and writing specialized ML models.
About this Course
What you will learn
Create TensorFlow and Keras machine learning models and understand their key components
Use the tf.data library to manipulate data and large datasets
Use the Keras Sequential and Functional APIs for simple and advanced model creation
Train, deploy, and productionalize ML models at scale with Vertex AI
Skills you will gain
- Machine Learning
- Python Programming
- Build Input Data Pipeline
Syllabus - What you will learn from this course
Introduction to the Course
Introduction to the TensorFlow ecosystem
Design and Build an Input Data Pipeline
Building Neural Networks with the TensorFlow and Keras API
Training at Scale with Vertex AI
- 5 stars61.90%
- 4 stars25.09%
- 3 stars8.95%
- 2 stars2.54%
- 1 star1.51%
TOP REVIEWS FROM TENSORFLOW ON GOOGLE CLOUD
The first week was the best, as it described some of what's going on under the hood. I would have liked much more on these topics and less on specific cloud products
Excellent course!!! It is the best way to really understand TensorFlow and getting to know its real potential. Thanks to all the instructors!!!
Wonderful course and specilization to deep dive into ML. Take your time and work on this course with all your heart to get in to the heart of ML
Amazing course! The short length of videos makes it lot easier for students to follow! Google is honestly the best at whatever it does! :)
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