AutoML avec AutoKeras - Classification d'images

Offered By
In this Guided Project, you will:

AutoML automatisation de la création de modèles de Machine Learning

Evaluation d'un modèle AutoKeras

Sauvegarde et restoration d'un modèle AutoKeras

90
Beginner
No download needed
Split-screen video
French
Desktop only

Dans ce projet guidé, vous créerez des modèles de Deep Learning (Apprentissage profond) automatisés facilement en utilisant AutoKeras une bibliothèque basée sur Keras et Tensorflow. L'optimisation des hyper-paramètres et l’une des tâches les plus chronophages lors de la création de modèles de Machine Learning. Avec AutoML cela est automatisé, ce qui résulte en un gain de temps considérable pour les ingénieurs en Machine Learning. Cela permet aussi à n'importe qui ayant des connaissances basiques de rapidement créer un modèle de Machine Learning Cette compétence est déterminante pour accroître votre productivité et la qualité de vos modèles de machine learning. Ce cours est destiné aux ingénieurs en Machine Learning, au Data Scientists et tous les curieux désireux augmenter leur productivité.

Skills you will develop

  • Deep Learning

  • automl

  • Tensorflow

  • AutoKeras

  • Classification d'Images

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Introduction à l’AutoML

  2. Préparation des données

  3. Création du modèle AutoML

  4. Entrainement du modèle Fashion MNIST

  5. Évaluation du modèle

  6. Sauvegarde et restauration du modèle

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

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Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.

You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.