This course covers designing and building a TensorFlow 2.x input data pipeline, building ML models with TensorFlow 2.x and Keras, improving the accuracy of ML models, writing ML models for scaled use and writing specialized ML models.
Introduction
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Destrezas que aprenderás
Machine Learning, Python Programming, Build Input Data Pipeline, Tensorflow, keras
Reseñas
4.4 (2,684 calificaciones)
- 5 stars61,81 %
- 4 stars25,11 %
- 3 stars8,97 %
- 2 stars2,57 %
- 1 star1,52 %
DW
16 de oct. de 2018
pretty good. some of the code in the last lab could be better explained. also please debug the cloud shell, as it does not always show the "web preview" button ;) otherwise, good job!
SS
5 de jun. de 2018
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.
De la lección
Introduction to the Course
This module provides an overview of the course and its objectives.
Impartido por:
Google Cloud Training
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