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DTSTART;VALUE=DATE:20230712
DTEND;VALUE=DATE:20230713
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CREATED:20230626T134833
DESCRIPTION: "PyTorch - Introduction to Deep Learning" - Steven Wallace \n\
 n PyTorch is a popular deep learning framework from Meta AI used by indust
 ry and academic researchers worldwide. PyTorch - Introduction to Deep Lear
 ning is a presentation designed to introduce fundamental concepts of deep 
 learning and their background to everyone. The presentation and coding cha
 llenges have been designed with as few mathematical calculations as possib
 le to keep the area of interest on applying deep learning concepts whilst 
 using Python programming. The Jupyter/Google Collab Notebook coding challe
 nges provide an insight into how deep learning is used for image classific
 ation\, a fundamental area in the development of computer vision. \n\n The
 oretical concepts of deep learning and how to optimise classification syst
 ems through PyTorch are covered in the presentation and then implemented i
 n the coding challenge notebook. Training\, validation\, and test datasets
  are highlighted because of how important the evaluation of deep learning 
 systems is through methods like hold one out cross-validation. Hold one ou
 t cross-validation is an evaluation method for deep learning systems ready
  for deployment to industrial applications or for the model evaluation res
 ults in research publications to be presented. The coding challenges are d
 esigned to complement the presentation and give everyone an insight into d
 eep learning with\nPyTorch. The chances are deep learning model/s are pres
 ent on your smartphone and in various other areas of everyday life right n
 ow. ChatGPT\, robotic vision systems and other AI advancements would not b
 e around today if not for deep learning. \n\n Steven Wallace – is a MSc 
 AI student at the University of Aberdeen who is completing his final disse
 rtation project with deep learning for underwater image quality assessment
  (UIQA). In October 2023 he will start a PhD in computer vision with multi
 modal data at the University of Aberdeen. Previously he was from an electr
 onic and electrical engineering background where he had industrial experie
 nce for 12 years. \n\n The talk will be followed by a challenge which atte
 ndees can work on in small groups or solo. \n\n If you don’t already hav
 e Python set up\, we can help you with that too. Coding in pairs or small 
 groups (especially mixing beginner and more experiences coders) is strongl
 y encouraged\, though you can also code solo. \n\n This event is orgnanise
 d by a charity - Code The City. CTC suggests a small donation to help with
  charity admin costs\, but if this is a barrier please just change the tic
 ket price to what you can afford. \n\n We're now back to planning physical
  events backed up with an online option. \n\n If you select a physical tic
 ket and it happens that we can not meet physically you will have to attend
  the Zoom session. If you choose a physical ticket and it goes ahead you w
 ill have to comply with any conditions of attendance (eg masks or social d
 istancing) that the venue operators demand at the time. \n\n Those attendi
 ng the physical space meetup should attend at 6pm for pizza and drinks. Th
 e coding session (for online attendees) will be from 6.30pm. Doors will be
  locked from 6.30pm. \n\n **If tickets are sold out please do not attend a
 s you will be refused entry without a ticket. ** \n\n Our booking system i
 s provided by Tito. Their platform is integrated with payment processing b
 y Stripe \n
LAST-MODIFIED:20251126T131419
LOCATION:ONE Tech Hub and Zoom 
ORGANIZER:mailto:info@codethecity.co.uk
SUMMARY:Aberdeen Python User Group 12 July 2023
URL;VALUE=URI:https://ti.to/code-the-city/apug-july-2023
URL;VALUE=URI:https://ti.to/code-the-city/apug-july-2023
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