This course provides in-depth training on building and optimizing machine learning models using TensorFlow 2.x and Keras on Google Cloud. Learn to create input data pipelines, understand TensorFlow's ecosystem, design neural networks, and scale training with Vertex AI.
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This course covers TensorFlow 2.x and Keras model creation, data pipeline design, and scaling training with Vertex AI. Explore TensorFlow's ecosystem and learn to build and optimize machine learning models.
This module introduces the course and provides an overview of the topics covered in the subsequent modules.
Explore the TensorFlow ecosystem, understand its key components, and learn about the structure of TensorFlow API layers. Dive into the resources available for TensorFlow and test your knowledge with a quiz.
Learn to design and build input data pipelines using tf.data API and manipulate large datasets. Gain hands-on experience in processing structured data and extending data processing with Keras pre-processing layers.
Build neural networks using TensorFlow and Keras APIs, understand activation functions, model deployment, and model subclassing. Dive into measuring model complexity and explore regularization techniques.
Discover the capabilities of Vertex AI for scalable training and gain practical experience in using the Vertex AI Training Service for scaling training.
This module summarizes the key concepts and learnings covered throughout the course.
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