Voltar para Introdução ao TensorFlow
Comentários e feedback de alunos de Introdução ao TensorFlow da instituição Google Cloud
2,532 classificações
Sobre o curso
This course is focused on using the flexibility and “ease of use” of TensorFlow 2.x and Keras to build, train, and deploy machine learning models. You will learn about the TensorFlow 2.x API hierarchy and will get to know the main components of TensorFlow through hands-on exercises. We will introduce you to working with datasets and feature columns. You will learn how to design and build a TensorFlow 2.x input data pipeline. You will get hands-on practice loading csv data, numPy arrays, text data, and images using tf.Data.Dataset. You will also get hands-on practice creating numeric, categorical, bucketized, and hashed feature columns.
We will introduce you to the Keras Sequential API and the Keras Functional API to show you how to create deep learning models. We’ll talk about activation functions, loss, and optimization. Our Jupyter Notebooks hands-on labs offer you the opportunity to build basic linear regression, basic logistic regression, and advanced logistic regression machine learning models. You will learn how to train, deploy, and productionalize machine learning models at scale with Cloud AI Platform.
Melhores avaliações
17 de Mai de 2020
I feel this course very valuable because it taught how to create an automated service in cloud with very huge data and working with distributed systems in production environment with minimal time.
14 de Nov de 2020
Excellent 'Introduction' to TensorFlow 2.0 (HINT: 'Introduction' does not mean 'Easy').\n\nEvan Jones is at his best giving rapid intuitive explanations of advanced topics in deep neural networks.
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301 — 304 de 304 Avaliações para o Introdução ao TensorFlow
por yu m c
•26 de Jun de 2019
very confusing labs and not much about tensorFlow
por Vinit K
•23 de Jan de 2019
Poor explanation
por uri r
•9 de Jul de 2020
outdated
por Felician P
•29 de Out de 2018
bad labs
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