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.
Offert par
Google CloudÀ propos de ce cours
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Dates limites flexibles
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Certificat partageable
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100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Niveau intermédiaire
Approx. 15 heures pour terminer
Anglais
Sous-titres : Anglais
Ce que vous allez apprendre
Create TensorFlow 2.x 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
Compétences que vous acquerrez
- Machine Learning
- Python Programming
- Build Input Data Pipeline
- Tensorflow
- keras
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Niveau intermédiaire
Approx. 15 heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
Google Cloud
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Programme de cours : ce que vous apprendrez dans ce cours
1 minute pour terminer
Introduction to the Course
This module provides an overview of the course and its objectives.
1 minute pour terminer
1 vidéo (Total 1 min)
1 heure pour terminer
Introduction to the TensorFlow ecosystem
This module introduces the TensorFlow framework and previews its main components as well as the overall API hierarchy.
1 heure pour terminer
4 vidéos (Total 19 min), 1 lecture, 1 quiz
5 heures pour terminer
Design and Build an Input Data Pipeline
Data is the a crucial component of a machine learning model. Collecting the right data is not enough. You also need to make sure you put the right processes in place to clean, analyze and transform the data, as needed, so that the model can take the most signal of it as possible. In this module we discuss training on large datasets with tf.data, working with in-memory files, and how to get the data ready for training. Then we discuss embeddings, and end with an overview of scaling data with tf.keras preprocessing layers.
5 heures pour terminer
10 vidéos (Total 41 min), 1 lecture, 3 quiz
6 heures pour terminer
Building Neural Networks with the TensorFlow and Keras API
In this module, we discuss activation functions and how they are needed to allow deep neural networks to capture nonlinearities of the data. We then provide an overview of Deep Neural Networks using the Keras Sequential and Functional APIs. Next we describe model subclassing, which offers greater flexibility in model building. The module ends with a lesson on regularization.
6 heures pour terminer
11 vidéos (Total 45 min), 1 lecture, 4 quiz
2 heures pour terminer
Training at Scale with Vertex AI
In this module, we describe how to train TensorFlow models at scale using Vertex AI.
2 heures pour terminer
3 vidéos (Total 7 min), 1 lecture, 2 quiz
1 heure pour terminer
Summary
This module is a summary of the TensorFlow on Google Cloud course.
1 heure pour terminer
4 lectures
Avis
- 5 stars61,77 %
- 4 stars25,12 %
- 3 stars8,99 %
- 2 stars2,57 %
- 1 star1,53 %
Meilleurs avis pour TENSORFLOW ON GOOGLE CLOUD
par LL30 août 2019
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.
par AH10 août 2018
Pretty helpful in getting to know the various levels of abstractions of tensorflow API and avoiding various pitfalls while building the Tensorflow model
par TW30 mars 2020
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! :/
par TK16 juin 2018
The BEST course I've ever taken on TensorFlow! Definitely recommended to anyone interested in learning the fundamental of TF and GCP
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