We may earn an affiliate commission when you visit our partners.
Google Cloud Training
Questo corso tratta la progettazione e la creazione di una pipeline di dati di input TensorFlow, la realizzazione di modelli ML con TensorFlow e Keras, il miglioramento dell'accuratezza dei modelli ML, la scrittura di modelli ML per l'uso su larga scala e la scrittura di modelli ML specializzati.
Register for this course and see more details by visiting:
OpenCourser.com/course/zpg248/tensorflow
Here's a deal for you
Save money when you learn with a deal that may be relevant to this course.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Get offer
What's inside
Syllabus
Riepilogo
Questo modulo è un riepilogo del corso TensorFlow on Google Cloud.
Introduzione al corso
Questo modulo fornisce una panoramica del corso e dei suoi obiettivi.
Read more
Syllabus
Riepilogo
Questo modulo è un riepilogo del corso TensorFlow on Google Cloud.
Introduzione al corso
Questo modulo fornisce una panoramica del corso e dei suoi obiettivi.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Taught by Google Cloud Training, who are recognized for their work in the topic that the course teaches
Develops skills and tools that are highly relevant to industry
Provides a comprehensive study of science, math, and technology
Explores Deep Learning, which is the core of modern AI
May be overambitious for learners new to the topic
Teaches about libraries that are difficult to find tutorials and support for
Save this course
Create your own learning path.
Save this course to your list so you can find it easily later.
Save
Save
Reviews summary
Tensorflow e ml su google cloud
Secondo gli studenti, questo corso offre una solida base per l'implementazione del machine learning con TensorFlow su Google Cloud. È particolarmente apprezzato per la sua copertura della progettazione di pipeline di dati input con `tf.data` e la creazione di reti neurali con Keras. Gli aspetti legati all'addestramento su larga scala con Vertex AI sono visti come molto pratici e attuali. Il corso è strutturato per fornire una panoramica completa dell'ecosistema TensorFlow, rendendolo utile per chi cerca di scalare i propri modelli ML.
Eccellente sulla preparazione e gestione dei dati per ML.
"Mi è piaciuto come il corso si concentri sulla creazione di pipeline di dati di input con tf.data."
"Ho imparato a pulire, analizzare e trasformare i dati in modo efficace per l'addestramento."
"L'attenzione ai set di dati di grandi dimensioni è stata cruciale per i miei progetti."
Panoramica approfondita dell'ecosistema TensorFlow e Keras.
"Ho apprezzato come il corso introduca il framework TensorFlow e le sue API principali."
"Le lezioni sulle reti neurali e le API Keras Sequential/Functional sono state molto chiare."
"Il modulo sugli incorporamenti e la pre-elaborazione dei dati con tf.keras è stato illuminante."
Incentrato sull'implementazione pratica di ML su Google Cloud.
"Ho trovato particolarmente utile l'attenzione all'addestramento su larga scala con Vertex AI."
"Mi ha fornito le competenze per distribuire i modelli ML direttamente su Google Cloud."
"L'integrazione con gli strumenti GCP è stata un punto di forza che cercavo in un corso."
Richiede conoscenze pregresse di Python e concetti di ML.
"Ritengo che sia più adatto a chi ha già una base di Python e machine learning, non per principianti assoluti."
"Avrei gradito un'introduzione più approfondita su alcuni concetti di ML prima di addentrarmi nei dettagli di TensorFlow."
"A volte ho sentito che il ritmo era un po' veloce, specialmente se non si è abituati a GCP."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in TensorFlow on Google Cloud - Italiano with these
activities:
Review fundamental concepts in machine learning
Show steps
Strengthen your foundation by refreshing your knowledge of key machine learning concepts before the course begins.
Browse courses on
Machine Learning
Show steps
-
Read introductory books or articles
-
Complete online courses or tutorials
-
Review previous coursework or notes
-
Practice solving basic machine learning problems
Organize and review course materials
Show steps
Enhance your retention by actively organizing, reviewing, and summarizing the course materials.
Show steps
-
Review lectures, assignments, and quizzes
-
Create summaries and notes
-
Organize materials into folders or databases
Follow TensorFlow tutorials
Show steps
Reinforce your understanding of TensorFlow concepts by working through hands-on tutorials provided by TensorFlow.
Show steps
-
Choose a tutorial that aligns with your learning objectives
-
Follow the step-by-step instructions
-
Experiment with different parameters and settings
Five other activities
Expand to see all activities and additional details
Show all eight activities
Discuss concepts with peers
Show steps
Deepen your understanding by engaging in discussions with other students, exchanging ideas, and answering each other's questions.
Show steps
-
Find a study partner or group
-
Schedule regular meetings
-
Prepare discussion topics
-
Take turns explaining concepts and solving problems
Leggere il white paper di TensorFlow 2.0
Show steps
Aiuterà a comprendere le ultime funzionalità e miglioramenti di TensorFlow.
Browse courses on
TensorFlow 2.0
Show steps
-
Scaricare il white paper di TensorFlow 2.0 dal sito web di TensorFlow.
-
Leggere il documento attentamente e prendere appunti sugli aggiornamenti principali.
Practice building neural networks
Show steps
Apply the concepts covered in the course by building different types of neural networks and experimenting with their architectures.
Show steps
-
Choose a neural network type (e.g., convolutional, recurrent, etc.)
-
Design the network architecture
-
Train the network on a dataset
-
Evaluate the network's performance
Seguire un corso online su TensorBoard
Show steps
Aiuterà a comprendere come utilizzare TensorBoard per visualizzare e monitorare i modelli di TensorFlow.
Browse courses on
TensorBoard
Show steps
-
Iscriversi a un corso online su TensorBoard, come quello offerto su Coursera o edX.
-
Seguire il corso e completare gli esercizi.
Create a machine learning model for a specific problem
Show steps
Apply your knowledge by developing a complete machine learning model to address a real-world problem.
Show steps
-
Define the problem statement and gather data
-
Choose appropriate machine learning algorithms
-
Build and train the model
-
Evaluate and deploy the model
Review fundamental concepts in machine learning
Show steps
Strengthen your foundation by refreshing your knowledge of key machine learning concepts before the course begins.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Read introductory books or articles
- Complete online courses or tutorials
- Review previous coursework or notes
- Practice solving basic machine learning problems
Organize and review course materials
Show steps
Enhance your retention by actively organizing, reviewing, and summarizing the course materials.
Show steps
Show steps
Show steps
- Review lectures, assignments, and quizzes
- Create summaries and notes
- Organize materials into folders or databases
Follow TensorFlow tutorials
Show steps
Reinforce your understanding of TensorFlow concepts by working through hands-on tutorials provided by TensorFlow.
Show steps
Show steps
Show steps
- Choose a tutorial that aligns with your learning objectives
- Follow the step-by-step instructions
- Experiment with different parameters and settings
Five other activities
Expand to see all activities and additional details
Show all eight activities
Discuss concepts with peers
Show steps
Deepen your understanding by engaging in discussions with other students, exchanging ideas, and answering each other's questions.
Show steps
Show steps
Show steps
- Find a study partner or group
- Schedule regular meetings
- Prepare discussion topics
- Take turns explaining concepts and solving problems
Leggere il white paper di TensorFlow 2.0
Show steps
Aiuterà a comprendere le ultime funzionalità e miglioramenti di TensorFlow.
Browse courses on
TensorFlow 2.0
Show steps
Show steps
Show steps
- Scaricare il white paper di TensorFlow 2.0 dal sito web di TensorFlow.
- Leggere il documento attentamente e prendere appunti sugli aggiornamenti principali.
Practice building neural networks
Show steps
Apply the concepts covered in the course by building different types of neural networks and experimenting with their architectures.
Show steps
Show steps
Show steps
- Choose a neural network type (e.g., convolutional, recurrent, etc.)
- Design the network architecture
- Train the network on a dataset
- Evaluate the network's performance
Seguire un corso online su TensorBoard
Show steps
Aiuterà a comprendere come utilizzare TensorBoard per visualizzare e monitorare i modelli di TensorFlow.
Browse courses on
TensorBoard
Show steps
Show steps
Show steps
- Iscriversi a un corso online su TensorBoard, come quello offerto su Coursera o edX.
- Seguire il corso e completare gli esercizi.
Create a machine learning model for a specific problem
Show steps
Apply your knowledge by developing a complete machine learning model to address a real-world problem.
Show steps
Show steps
Show steps
- Define the problem statement and gather data
- Choose appropriate machine learning algorithms
- Build and train the model
- Evaluate and deploy the model
Career center
Learners who complete TensorFlow on Google Cloud - Italiano will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/zpg248/tensorflow
Reading list
We haven't picked any books for this reading list yet.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/zpg248/tensorflow
Share
Similar courses
Similar courses are unavailable at this time. Please try again later.
Effort
4 weeks of study, 8-10 hours/week
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
Italiano
Transcript
English
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2025 OpenCourser