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.
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About this Course
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat 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
- Tensorflow
- keras
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
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
Summary
Reviews
- 5 stars61.90%
- 4 stars25.10%
- 3 stars8.93%
- 2 stars2.54%
- 1 star1.51%
TOP REVIEWS FROM TENSORFLOW ON GOOGLE CLOUD
Pretty helpful in getting to know the various levels of abstractions of tensorflow API and avoiding various pitfalls while building the Tensorflow model
very useful for getting up to speed on tensorflowa little inconvenient that you have to start the infrastructure for each lab, takes minutes (5-7)
Excellent 'Introduction' to TensorFlow 2.0 (HINT: 'Introduction' does not mean 'Easy').
Evan Jones is at his best giving rapid intuitive explanations of advanced topics in deep neural networks.
This needs some updating - looks like the Tensorboard is no longer accessed in the same way as it was when this course was produced.
Otherwise great! Good challenges! :/
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