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Overview
This course introduces Tensor Flow, Googleâs open-source machine learning framework, within the Google Cloud environment. Learners explore Tensor Flow basics, model building, training, and deployment using Google Cloud services such as AI Platform and Big Query. Hands-on labs help participants develop scalable ML models and optimize workflows for production-ready AI solutions.
Syllabus
- Introduction to the Course
- Introduction
- Introduction to the TensorFlow Ecosystem
- Introduction to the TensorFlow ecosystem
- Introduction to Tensorflow
- TensorFlow API hierarchy
- Components of Tensorflow: Tensors and variables
- Quiz: Introduction to the TensorFlow Ecosystem
- Resources: Introduction to the TensorFlow Ecosystem
- Design and Build an Input Data Pipeline
- Introduction
- An ML recap
- Training on large datasets with tf.data API
- Working in-memory and with files
- Getting the data ready for model training
- Embeddings
- Lab intro: TensorFlow Dataset API
- TensorFlow Dataset API
- Scaling data processing with tf.data and Keras preprocessing layers
- Lab intro: Classifying structured data using Keras preprocessing layers
- Classifying Structured Data using Keras Preprocessing Layers
- Quiz: Design and Build Input Data Pipeline
- Resources: Design and Build a TensorFlow Input Data Pipeline
- Building Neural Networks with the TensorFlow and Keras API
- Introduction
- Activation functions
- Training neural networks with TensorFlow 2 and the Keras Sequential API
- Serving models in the cloud
- Lab intro: Introducing the Keras Sequential API on Vertex AI Platform
- Introducing the Keras Sequential API on Vertex AI Platform
- Training neural networks with TensorFlow 2 and the Keras Functional API
- Lab intro: Build a DNN using the Keras Functional API on Vertex AI Platform
- Build a DNN using the Keras Functional API
- Model subclassing
- Regularization basics
- How can we measure model complexity: L1 vs. L2 Regularization
- Quiz: Building Neural Networks in TensorFlow with Keras API
- Resources: Building Neural Networks with the TensorFlow and Keras API
- Training at Scale with Vertex AI
- Introduction
- Training at scale with Vertex AI
- Lab intro: Training at Scale with Vertex AI Training Service
- Training at Scale with Vertex AI Training Service
- Quiz: Training at Scale with Vertex AI
- Resources: Training at Scale with Vertex AI
- Summary
- Summary
- Resource: All quiz questions
- Resource: All readings
- Resource: All slides
- Your Next Steps
- Course Badge
Google via Google Cloud Skills Boost
15 hours 30 minutes
Certificate Available
English
On-Demand
Intermediate
Instructor
cloudskillsboost.google
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