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Neem deel aan Microsoft Reactor en neem live contact op met ontwikkelaars

Klaar om aan de slag te gaan met AI en de nieuwste technologieën? Microsoft Reactor biedt evenementen, training en communitybronnen om ontwikkelaars, ondernemers en startups te helpen bouwen op AI-technologie en meer. Kom kijken.

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Deep learning with TensorFlow using Keras & Azure ML Service

12 maart, 2022 | 10:30 a.m. - 11:30 a.m. (UTC) Coordinated Universal Time

  • Notatie:
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Onderwerp: Datawetenschap & Machine Learning

Taal: Engels

In this workshop, you will get an introduction to Computer Vision using TensorFlow. We'll use image classification to learn about convolutional neural networks, and then see how pre-trained networks and transfer learning can improve our models and solve real-world problems. We'll explore Keras, a high-level API released as part of TensorFlow, and we'll use it to build a neural network for image classification.

The session will focus on Azure services and related products like Azure Machine Learning Service ,Azure Data Lake, Tensorflow & Convolutional neural networks.

In this session you will Learn to load and prepare data to be used in machine learning, Learn to specify the architecture of a deep learning neural network ,Learn to train a neural network and learn to make a prediction using a neural network.

Further Learning : https://aka.ms/TensorFlowusingKeras-LM-12/3

Speaker : Shivam Sharma

Speaker BIO- Shivam is an author, cloud architect, speaker, and Co-Founder at TechScalable. Being passionate about ever evolving technology he works on Azure, GCP, Machine Learning, Kubernetes & DevOps. He is also a Microsoft Certified Trainer. He architects’ solutions on Cloud as well on-premises using wide array of platforms/technologies.

Social Handle

LinkedIn - https://www.linkedin.com/in/shivam-sharma-9828a536/
Twitter - https://twitter.com/ShivamSharma_TS
Facebook - https://www.facebook.com/TSshivamsharma/

Vereisten

a) Basic Python knowledge.
B) Basic knowledge about how to use Jupyter Notebooks

Sprekers

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