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.
Introduction
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Destrezas que aprenderás
Machine Learning, Python Programming, Build Input Data Pipeline, Tensorflow, keras
Reseñas
4.4 (2,714 calificaciones)
- 5 stars61,90Â %
- 4 stars25,09Â %
- 3 stars8,95Â %
- 2 stars2,54Â %
- 1 star1,51Â %
JZ
3 de nov. de 2022
Quite a technical course with sophisticated lab sessions, but I got good hands-on experience on building NN models using Keras and TF functional API as well as deploying the model in Vertex AI.
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!
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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