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training:ds:2025:introtopytorch [2025/01/09 09:02] – Didier Barradas Bautistatraining:ds:2025:introtopytorch [2025/04/15 05:07] (current) – Didier Barradas Bautista
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 <WRAP group> <WRAP quarter column> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:calendar3.svg?nolink&}} <tab1> <fs:26px>** Date**</fs> <WRAP group> <WRAP quarter column> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:calendar3.svg?nolink&}} <tab1> <fs:26px>** Date**</fs>
  
-  * TBD+  * 15 April, 2025
   * 9:00 am - 1:00 pm   * 9:00 am - 1:00 pm
  
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 <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:globe.svg?nolink&}} <tab1> <fs:26px>** Organizer**</fs> <WRAP center round box 110%> {{:icon:twbs:link:w-25:h-auto:globe.svg?nolink&}} <tab1> <fs:26px>** Organizer**</fs>
  
-{{:icon:twbs:link:w-25:h-auto:person.svg?nolink&}} Didier Barradas Bautista \\ {{:icon:twbs:link:w-25:h-auto:headset-vr.svg?nolink&}} Visualization Core Laboratory \\ {{:icon:twbs:link:w-25:h-auto:envelope-at.svg?nolink&}} didier.barradasbautista@kaust.edu.sa </WRAP> </WRAP>+{{:icon:twbs:link:w-25:h-auto:person.svg?nolink&}} Didier Barradas Bautista \\  
 +{{:icon:twbs:link:w-25:h-auto:headset-vr.svg?nolink&}} Visualization Core Laboratory \\  
 +{{:icon:twbs:link:w-25:h-auto:envelope-at.svg?nolink&}} didier.barradasbautista@kaust.edu.sa  
 + 
 +/* 
 +{{:icon:twbs:link:w-25:h-auto:person.svg?nolink&}}   Tiziana Ricciardelli \\  
 +{{:icon:twbs:link:w-25:h-auto:book.svg?nolink&}}  KCC \\  
 +{{:icon:twbs:link:w-25:h-auto:envelope-at.svg?nolink&}} tiziana.ricciardelli@kaust.edu.sa 
 +*/ 
 + 
 +</WRAP> </WRAP>
  
 <WRAP quarter column> <WRAP center round box 100%>{{:icon:twbs:link:w-25:h-auto:person-add.svg?nolink&}} <tab1> <fs:26px>** Register**</fs> <WRAP quarter column> <WRAP center round box 100%>{{:icon:twbs:link:w-25:h-auto:person-add.svg?nolink&}} <tab1> <fs:26px>** Register**</fs>
  
-<wrap em button> [[ |Register Here]] </wrap> \\+<wrap em button> [[ https://kaustforms.formstack.com/forms/pytorch_25|Register Here]] </wrap> \\
 <wrap indent></wrap> \\ <wrap indent></wrap> \\
 <wrap indent></wrap> \\ <wrap indent></wrap> \\
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  <fs:26px>** Workshop Materials**</fs>  <fs:26px>** Workshop Materials**</fs>
  
-  * Slides: [[https://kaust-my.sharepoint.com/:p:/g/personal/barradd_kaust_edu_sa/EYyXPZwMbv9Pqx9V3YxH4okBBDohnlV67ZNw7BwDp4cUog?e=UCv8UU | here]]+  * Slides: [[https://kaust-my.sharepoint.com/:p:/g/personal/barradd_kaust_edu_sa/ET_hM92YzQlFmU0zyaaRMkoBPFMADZPXreo_wwC77TpYBg?e=WjgrjW | here]]
 /*  * Livestream: [[https://youtube.com/live/7iZmdWtH97E?feature=share | watch recording]] */ /*  * Livestream: [[https://youtube.com/live/7iZmdWtH97E?feature=share | watch recording]] */
   * Etherpath:[[https://pad.carpentries.org/2024-09-26-kaust-vislab]|here]]   * Etherpath:[[https://pad.carpentries.org/2024-09-26-kaust-vislab]|here]]
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  <fs:26px>** How to Prepare?**</fs>  <fs:26px>** How to Prepare?**</fs>
  
-  * Here is the material we will follow :[[https://carpentries-incubator.github.io/introduction-to-conda-for-data-scientists/| Conda]]. +  * Here is the material we will follow :[[https://pytorch.org/tutorials/beginner/basics/intro.html| PyTorch]]. 
-  * Local Setup : [[https://carpentries-incubator.github.io/introduction-to-conda-for-data-scientists/setup|Here]]. +  * As alternative, read the material here : [[https://www.learnpytorch.io/ | Learn PyTorch for Deep Learning: Zero to Mastery book]]. 
-  * Public Binder : [[https://github.com/kaust-vislab/kvl-binder-serv-public|here]]+  * Local Setup : [[https://pytorch.org/get-started/locally/|Here]]. 
 +  * Binder : [[https://github.com/kaust-vislab/introduction-to-data-science-workshop|here]]
   * **KAUSTians you will be able to use:**   * **KAUSTians you will be able to use:**
   * The [[https://classhub.kaust.edu.sa/course/binder-ws/|Classhub]], please create a [[https://github.com/|GitHub]] account in order to use it   * The [[https://classhub.kaust.edu.sa/course/binder-ws/|Classhub]], please create a [[https://github.com/|GitHub]] account in order to use it
-  * After you create the GitHub account, get access [[https://assembly.kaust.edu.sa/form/c0944092-f221-4a23-b471-0c9dd6e4d879 +  * After you create the GitHub account, get access [[https://assembly.kaust.edu.sa/form/ffe5352f-c502-4d26-8975-e50c71a58a8a |here]]
-|here]]+
   * [[https://jupyter.kaust.edu.sa/hub/login|JupyterHub]], use your portal credentials to log in   * [[https://jupyter.kaust.edu.sa/hub/login|JupyterHub]], use your portal credentials to log in
 </WRAP> </WRAP>
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 ===== Overview ===== ===== Overview =====
  
-PyTorch is an open-source deep learning framework developed by Facebook's AI Research lab (FAIR). It is widely used for building and training neural networks due to its flexibility and ease of use. Learning PyTorch is beneficial because it is one of the most popular frameworks in the field of artificial intelligence and machine learning. It is extensively used in both academia and industry, powering applications from simple image classifiers to complex systems like self-driving cars and large language models.+PyTorch is an open-source deep learning framework developed by Facebook's AI Research Lab (FAIR). It is widely used for building and training neural networks due to its flexibility and ease of use. Learning PyTorch is beneficial because it is one of the most popular artificial intelligence and machine learning frameworks. It is extensively used in academia and industry, powering applications from simple image classifiers to complex systems like self-driving cars and large language models.
  
 This hands-on lesson is part of the Introduction to Data Science Workshop Series offered by KVL as part of our ongoing efforts to build core data science skills capacity both at KAUST and within the Kingdom of Saudi Arabia (KSA). This hands-on lesson is part of the Introduction to Data Science Workshop Series offered by KVL as part of our ongoing efforts to build core data science skills capacity both at KAUST and within the Kingdom of Saudi Arabia (KSA).