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.
About this Course
What 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
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
- 5 stars61.90%
- 4 stars25.09%
- 3 stars8.95%
- 2 stars2.54%
- 1 star1.51%
TOP REVIEWS FROM TENSORFLOW ON GOOGLE CLOUD
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.
The course covers quite a few concepts -- TF basics, TF estimator, Google Cloud ML. It would be easier if the material is split into TF and Google Cloud lessons.
The tools and methods presented were great. The instructors were also fantastic.
However the coding exercises were lacking in guidance even though the complete solution is given in the video.
Nice introduce, might be more on introduce the model structure, because I still need to read additional notes to locate how to train my deep learning model online.
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