Build, train, and deploy ML models with TensorFlow: A hands-on journey through Google Cloud’s powerful infrastructure
What you will learn
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Master the foundational principles behind simple ML models such as Linear and Logistic Regression models using TensorFlow.
Construct intricate Artificial Neural Networks (ANN) to tackle more complex data challenges.
Design Convolutional Neural Networks (CNN) for image and pattern recognition tasks.
Harness the capabilities of Google Cloud’s Colab to execute Python codes for ML tasks efficiently.
Explore the functionalities of Google Vertex and how it augments Jupyter notebook constructions.
Implement end-to-end machine learning workflows, from data preprocessing to model deployment
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