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Insoft Services è uno dei pochi fornitori di formazione in EMEAR a offrire una gamma completa di certificazione Cisco e formazione tecnologica specializzata.

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Sperimenta un approccio di apprendimento misto che combina il meglio della formazione con istruttore e dell'e-learning autogestito per aiutarti a prepararti per l'esame di certificazione.

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I Cisco Learning Credits (CLC) sono voucher di formazione prepagati riscattati direttamente con Cisco che semplificano la pianificazione del successo durante l'acquisto di prodotti e servizi Cisco.

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Formazione Continua

The Cisco Continuing Education Program offers all active certification holders flexible options to recertify by completing a variety of eligible training items.

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Certified employees are VALUED assets. Explore Cisco official Digital Learning Library to educate yourself through recorded sessions.

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The Cisco Business Enablement Partner Program focuses on sharpening the business skills of Cisco Channel Partners and customers.

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Certificazioni Fortinet

Il programma Fortinet Network Security Expert (NSE) è un programma di formazione e certificazione di otto livelli per insegnare agli ingegneri la sicurezza della loro rete per le competenze e l'esperienza di Fortinet FW.

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Corsi di formazione tecnica

Insoft è riconosciuto come Fortinet Authorized Training Center in sedi selezionate in tutta l'EMEA.

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Catalogo Fortinet

Esplora un'ampia varietà di programmi Fortinet in diversi paesi e corsi online.

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Controlla il nostro stato ATC in tutti i paesi selezionati in Europa.

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Fortinet Servizi Professionale

Il team riconosciuto a livello globale di esperti certificati ti aiuta a fare una transizione più fluida con i nostri pacchetti di consulenza, installazione e migrazione predefiniti per una vasta gamma di prodotti Fortinet.

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Catalogo Microsoft

Insoft Services fornisce formazione Microsoft in EMEAR. Offriamo corsi di formazione tecnica e certificazione Microsoft guidati da istruttori di livello mondiale.

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Corsi di formazione

Impara conoscenze e abilità eccezionali di Extreme Networks.Find all the Extreme Networks online and instructor led class room based calendar here.

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Certificazioni Extreme

Forniamo un curriculum completo di competenze tecniche sul conseguimento della certificazione.

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Catalogo Extreme

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Accreditamento ATP

In qualità di partner di formazione autorizzato (ATP), Insoft Services garantisce che tu riceva i più alti standard di istruzione disponibili.

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Pacchetti di consulenza

Forniamo un supporto innovativo e avanzato per la progettazione, l'implementazione e l'ottimizzazione delle soluzioni IT.La nostra base di clienti comprende alcune delle più grandi telco a livello globale.

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Il team riconosciuto a livello globale di esperti certificati ti aiuta a fare una transizione più fluida con i nostri pacchetti di consulenza, installazione e migrazione predefiniti per una vasta gamma di prodotti Fortinet.

Chi siamo

Insoft fornisce servizi di formazione e consulenza autorizzati per fornitori IP selezionati.Scopri come stiamo rivoluzionando il settore.

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  • +39 02 8704 5199
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    • Beginning Application Development with TensorFlow and Keras

    Enroll Now
    Duration
    2 Giorni
    Delivery
    (Online e in loco)
    Price
    Prezzo su richiesta
    The Beginning Application Development with TensorFlow and Keras course covers the development of a real-world application powered by TensorFlow and Keras. TensorFlow is popular software created by Google (and open source contributors) to facilitate the development of machine learning applications, particularly those that use deep learning. Keras is an interface that facilitates the development of deep learning models. The course starts with a hands-on introduction to TensorFlow and Keras. Then we move to the architecture of an example model, selecting the right layers to solve an example problem (predicting Bitcoin prices). Then we move on to the training and evaluation of the model. We will finish by deploying the model as a real-world product: a web-application (with an HTTP API) that uses Flask to make our model predictions available to the world.  

    This is a 2-day course packaged with the right balance of theory and hands-on activities that will help you easily learn TensorFlow and Keras from scratch.

    This course will provide you with a blueprint of how to build an application that generates predictions using a deep learning model. From there you can continue to improve the example model”either by adding more data, computing more features, or changing its architecture”continuously increasing its prediction accuracy, or create a completely new model, changing the core components of the application as you see fit.

    Lesson 1: Introduction to Neural Networks and Deep Learning

    • What are Neural Networks?
    • Configuring a Deep Learning Environment

    Lesson 2: Model Architecture

    • Choosing the Right Model Architecture
    • Using Keras as a TensorFlow Interface

    Lesson 3: Model Evaluation and Evaluation

    • Model Evaluation
    • Hyperparameter Optimization

    Lesson 4: Productization

    • Handling New Data
    • Deploying a Model as a Web Application

    This course is designed for developers, analysts, and data scientists interested in developing applications using TensorFlow and Keras.

    Hardware:
    For successful completion of this course, students will require computer systems with the following:

    • Processor: 2.6 GHz or higher, preferably multi-core
    • Memory: 4 GB RAM
    • Hard disk: 10 GB
    • Projector
    • Internet connection

     

    Software:

    • Operating System: Windows (8 or higher).
    • Visual Studio Code:https://code.visualstudio.com
    • Python 3: Follow instructions on the website: https://www.python.org/downloads/
    • TensorFlow 1.4 or higher on Windows: Follow instructions in website: https://www.tensorflow.org/install/install_windows
    • Keras 2: Follow instructions on the website (Keras only): https://keras.io/#installation

     

    Installation and Setup

    • Download and install Visual Studio Code from this website: https://code.visualstudio.com/
    • Download and install Python 3 from this website: https://www.python.org/downloads/
    • Download and install TensorFlow by following the instructions on this website: https://www.tensorflow.org/install/install_windows
    • Download and install Keras by following the instructions on this website: https://keras.io/#installation
    Overview
    The Beginning Application Development with TensorFlow and Keras course covers the development of a real-world application powered by TensorFlow and Keras. TensorFlow is popular software created by Google (and open source contributors) to facilitate the development of machine learning applications, particularly those that use deep learning. Keras is an interface that facilitates the development of deep learning models. The course starts with a hands-on introduction to TensorFlow and Keras. Then we move to the architecture of an example model, selecting the right layers to solve an example problem (predicting Bitcoin prices). Then we move on to the training and evaluation of the model. We will finish by deploying the model as a real-world product: a web-application (with an HTTP API) that uses Flask to make our model predictions available to the world.  

    This is a 2-day course packaged with the right balance of theory and hands-on activities that will help you easily learn TensorFlow and Keras from scratch.

    This course will provide you with a blueprint of how to build an application that generates predictions using a deep learning model. From there you can continue to improve the example model”either by adding more data, computing more features, or changing its architecture”continuously increasing its prediction accuracy, or create a completely new model, changing the core components of the application as you see fit.

    Lesson 1: Introduction to Neural Networks and Deep Learning

    • What are Neural Networks?
    • Configuring a Deep Learning Environment

    Lesson 2: Model Architecture

    • Choosing the Right Model Architecture
    • Using Keras as a TensorFlow Interface

    Lesson 3: Model Evaluation and Evaluation

    • Model Evaluation
    • Hyperparameter Optimization

    Lesson 4: Productization

    • Handling New Data
    • Deploying a Model as a Web Application

    This course is designed for developers, analysts, and data scientists interested in developing applications using TensorFlow and Keras.

    Hardware:
    For successful completion of this course, students will require computer systems with the following:

    • Processor: 2.6 GHz or higher, preferably multi-core
    • Memory: 4 GB RAM
    • Hard disk: 10 GB
    • Projector
    • Internet connection

     

    Software:

    • Operating System: Windows (8 or higher).
    • Visual Studio Code:https://code.visualstudio.com
    • Python 3: Follow instructions on the website: https://www.python.org/downloads/
    • TensorFlow 1.4 or higher on Windows: Follow instructions in website: https://www.tensorflow.org/install/install_windows
    • Keras 2: Follow instructions on the website (Keras only): https://keras.io/#installation

     

    Installation and Setup

    • Download and install Visual Studio Code from this website: https://code.visualstudio.com/
    • Download and install Python 3 from this website: https://www.python.org/downloads/
    • Download and install TensorFlow by following the instructions on this website: https://www.tensorflow.org/install/install_windows
    • Download and install Keras by following the instructions on this website: https://keras.io/#installation
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