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Tensorflow Course
Unlock the power of machine learning with our comprehensive TensorFlow Course, designed for technology professionals keen to excel. Dive into the nitty-gritty of TensorFlow, from installation to mastering data structures. Build robust neural networks using Sequential and Functional APIs, optimise models with hyperparameter tuning, and enhance performance through effective evaluation techniques. Learn to document findings, visualise data, and present results with clarity. Elevate your skills with practical, high-quality content tailored for real-world applications.
- Master TensorFlow basics: Install, set up, and understand core data structures.
- Build neural networks: Define architectures using Sequential and Functional APIs.
- Optimise models: Tune hyperparameters and select optimisers for peak performance.
- Evaluate performance: Split data, validate models, and enhance generalisation.
- Document findings: Write reports, visualise data, and follow code documentation best practices.

4 to 360 hours flexible workload
certificate recognised by the NZQA
What will I learn?
Unlock the power of machine learning with our comprehensive TensorFlow Course, designed for technology professionals keen to excel. Dive into the nitty-gritty of TensorFlow, from installation to mastering data structures. Build robust neural networks using Sequential and Functional APIs, optimise models with hyperparameter tuning, and enhance performance through effective evaluation techniques. Learn to document findings, visualise data, and present results with clarity. Elevate your skills with practical, high-quality content tailored for real-world applications.
Elevify advantages
Develop skills
- Master TensorFlow basics: Install, set up, and understand core data structures.
- Build neural networks: Define architectures using Sequential and Functional APIs.
- Optimise models: Tune hyperparameters and select optimisers for peak performance.
- Evaluate performance: Split data, validate models, and enhance generalisation.
- Document findings: Write reports, visualise data, and follow code documentation best practices.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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