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Cisco utbildning

Insoft Services är en av få utbildningsleverantörer inom EMEAR som erbjuder hela utbudet av Cisco-certifiering och specialiserad teknikutbildning.

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Cisco-certifieringar

Upplev en blandad inlärningsmetod som kombinerar det bästa av instruktörsledd utbildning och e-lärande i egen takt för att hjälpa dig att förbereda dig för ditt certifieringsprov.

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Cisco Learning Credits

Cisco Learning Credits (CLC) är förbetalda utbildningskuponger som löses in direkt med Cisco och som gör det enklare att planera för din framgång när du köper Ciscos produkter och tjänster.

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Cisco Fortbildning

Ciscos fortbildningsprogram erbjuder alla aktiva certifikatinnehavare flexibla alternativ för att omcertifiera genom att slutföra en mängd olika kvalificerade utbildningsartiklar.

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Cisco Digital Learning

Certifierade medarbetare är VÄRDERADE tillgångar. Utforska Ciscos officiella digitala utbildningsbibliotek för att utbilda dig själv genom inspelade sessioner.

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Partner för affärsaktivering

Cisco Business Enablement Partner Program fokuserar på att vässa affärskunskaperna hos Cisco Channel Partners och kunder.

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Cisco Kurskatalog

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Fortinet-certifieringar

Fortinet Network Security Expert (NSE) -programmet är ett utbildnings- och certifieringsprogram på åtta nivåer för att lära ingenjörer om deras nätverkssäkerhet för Fortinet FW-färdigheter och erfarenheter.

Tekniska utbildningar

Tekniska utbildningar

Insoft är erkänt som Fortinet Authorized Training Center på utvalda platser i EMEA.

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Fortinet Kurskatalog

Utforska ett brett utbud av Fortinet-scheman i olika länder samt onlinekurser.

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ATC-status

Kolla in vår ATC-status i utvalda länder i Europa.

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Fortinet Professionella tjänster

Globalt erkända team av certifierade experter hjälper dig att göra en smidigare övergång med våra fördefinierade konsult-, installations- och migreringspaket för ett brett utbud av Fortinet-produkter.

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Microsoft-utbildning

Insoft Services tillhandahåller Microsoft-utbildning i EMEAR. Vi erbjuder Microsofts tekniska utbildnings- och certifieringskurser som leds av instruktörer i världsklass.

Tekniska utbildningar

Extreme-utbildning

Lär dig exceptionella kunskaper och färdigheter i Extreme Networks.

Technische Kurse

Tekniske-certifieringar

Vi tillhandahåller omfattande läroplan för tekniska kompetensfärdigheter på certifieringsprestationen.

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Extreme Kurskatalog

Hier finden Sie alle Extreme Networks online und den von Lehrern geleiteten Kalender für den Klassenraum.

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ATP-ackreditering

Som auktoriserad utbildningspartner (ATP) säkerställer Insoft Services att du får de högsta tillgängliga utbildningsstandarderna.

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Konsultpaket

Vi erbjuder innovativt och avancerat stöd för att designa, implementera och optimera IT-lösningar.Vår kundbas inkluderar några av de största telekombolagen globalt.

Lösningar och tjänster

Globalt erkända team av certifierade experter hjälper dig att göra en smidigare övergång med våra fördefinierade konsult-, installations- och migreringspaket för ett brett utbud av Fortinet-produkter.

Om oss

Insoft Tillhandahåller auktoriserade utbildnings- och konsulttjänster för utvalda IP-leverantörer.Lär dig hur vi revolutionerar branschen.

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    • Beginning Application Development with TensorFlow and Keras

    Enroll Now
    Duration
    2 Dagar
    Delivery
    (Online och på plats)
    Price
    Pris på begäran
    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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