What we're about

Let's Build What's Next. Together.

Welcome to GDGYYC! We here to advance Calgary's developers, data scientists and cloud architects to utilize Google Cloud and Cloud Native technology, tools and frameworks to:

• Build What’s Next: Build and deploy the solutions of the future.

• Transform Legacy: Modernize legacy infrastructure and solutions.

We are a registered non-profit and volunteer-run, official chapter of Google's worldwide developer network, known as Google Developer Groups (GDGs) (https://developers.google.com/community/gdg/). We are an open, inclusive community of over 1000 members focused on developer success.

Let’s build a world-class community.
Together.

Our vision says it all. We’re not satisfied until GDGYYC is a world-class developer community. It’s what we’re here to do.

Let’s solve problems at scale.

Together.

Click the "Join us" button to get started. Welcome to the community!

Disclaimer: GDG Cloud Calgary is an independent group; our activities and the opinions expressed here should in no way be linked to Google, the corporation. To learn more about the GDG program, visit https://developers.google.com/groups (https://developers.google.com/groups/)/

Upcoming events (5+)

Deep Learning Fellowship

Calgary Public Library - Central Library

Come and join a fellowship of Deep Learning and AI enthusiasts in their quest to keep up with the latest developments in artificial intelligence and cloud computing! This group is for intermediate and advanced practitioners of deep learning utilizing TensorFlow. Our plan is to organize a weekly or bi-weekly event in which we will collectively analyze the latest and seminal research papers in the field of AI. We will be covering anything from computer vision, natural language processing to deep reinforcement learning and Bayesian networks. These meetups are intended to be an open discussion of the selected paper, related research and relevant model coding. The paper for this meetup is: "Tutorial on Variational Autoencoders" (https://arxiv.org/abs/1606.05908) Please read the paper beforehand and try to code it up yourself. We will be covering the code in detail at the meetup. As such, we ask that everyone code in TensorFlow and/or Keras so we are all speaking the same language in our discussion. Our goal is to create an interactive study group where we collectively choose the research papers that we'd like to dig into and share the lessons we learn from attempting to execute the architecture in our own applications. Your feedback will be valuable in determining the structure and content of the event in the future.

Deep Learning Fellowship

Calgary Public Library - Central Library

Come and join a fellowship of Deep Learning and AI enthusiasts in their quest to keep up with the latest developments in artificial intelligence and cloud computing! This group is for intermediate and advanced practitioners of deep learning utilizing TensorFlow. Our plan is to organize a weekly or bi-weekly event in which we will collectively analyze the latest and seminal research papers in the field of AI. We will be covering anything from computer vision, natural language processing to deep reinforcement learning and Bayesian networks. These meetups are intended to be an open discussion of the selected paper, related research and relevant model coding. The paper for this meetup is: "A Style-Based Generator Architecture for Generative Adversarial Networks" (https://arxiv.org/abs/1812.04948) Please read the paper beforehand and try to code it up yourself. We will be covering the code in detail at the meetup. As such, we ask that everyone code in TensorFlow and/or Keras so we are all speaking the same language in our discussion. Our goal is to create an interactive study group where we collectively choose the research papers that we'd like to dig into and share the lessons we learn from attempting to execute the architecture in our own applications. Your feedback will be valuable in determining the structure and content of the event in the future.

Deep Learning Fellowship

Calgary Public Library - Central Library

Come and join a fellowship of Deep Learning and AI enthusiasts in their quest to keep up with the latest developments in artificial intelligence and cloud computing! This group is for intermediate and advanced practitioners of deep learning utilizing TensorFlow. Our plan is to organize a weekly or bi-weekly event in which we will collectively analyze the latest and seminal research papers in the field of AI. We will be covering anything from computer vision, natural language processing to deep reinforcement learning and Bayesian networks. These meetups are intended to be an open discussion of the selected paper, related research and relevant model coding. *** The paper for this meetup is to be determined. If you have a paper you would like to suggest please send us a meetup message or post the suggestion on the Slack workspace. *** Please read the paper beforehand and try to code it up yourself. We will be covering the code in detail at the meetup. As such, we ask that everyone code in TensorFlow and/or Keras so we are all speaking the same language in our discussion. Our goal is to create an interactive study group where we collectively choose the research papers that we'd like to dig into and share the lessons we learn from attempting to execute the architecture in our own applications. Your feedback will be valuable in determining the structure and content of the event in the future.

Deep Learning Fellowship

Calgary Public Library - Central Library

Come and join a fellowship of Deep Learning and AI enthusiasts in their quest to keep up with the latest developments in artificial intelligence and cloud computing! This group is for intermediate and advanced practitioners of deep learning utilizing TensorFlow. Our plan is to organize a weekly or bi-weekly event in which we will collectively analyze the latest and seminal research papers in the field of AI. We will be covering anything from computer vision, natural language processing to deep reinforcement learning and Bayesian networks. These meetups are intended to be an open discussion of the selected paper, related research and relevant model coding. *** The paper for this meetup is to be determined. If you have a paper you would like to suggest please send us a meetup message or post the suggestion on the Slack workspace. *** Please read the paper beforehand and try to code it up yourself. We will be covering the code in detail at the meetup. As such, we ask that everyone code in TensorFlow and/or Keras so we are all speaking the same language in our discussion. Our goal is to create an interactive study group where we collectively choose the research papers that we'd like to dig into and share the lessons we learn from attempting to execute the architecture in our own applications. Your feedback will be valuable in determining the structure and content of the event in the future.

Past events (45)

Google Map Maker

Nucleus Calgary

Photos (114)