📣 شاخه دانشجویی IEEE دانشگاه شهید بهشتی، انجمن‌های علمی مکاترونیک دانشگاه شهید بهشتی و مهندسی برق دانشگاه صنعتی قم برگزار می‌کند:

⭕️ وبینار تخصصی با موضوع:
▫️آشنایی با Machine Learning▫️

#MachineLearning

🎤 سخنران:
👨🏻‍💻 مهندس معین سلیمی

🗒 سوابق:
🔹 مدرس برنامه‌نویسی پایتون و متلب در دانشگاه تهران، شریف و مکتب خونه
🔹 مدرس برنامه‌نویسی متلب در مجتمع فنی تهران

⏳ زمان برگزاری:
📆 پنجشنبه ٢١ بهمن ماه
⏱ ساعت ۱۷ الی ۱٩

🔽 برای ثبت نام رایگان در وبینار در گروه زیر عضو شوید:

🔗 لینک گروه


‼️لطفا به دلیل محدودیت در ظرفیت ثبت نام خود را به روزهای پایانی موکول نکنید.‼️

⚠️لینک ویدیو ضبط شده وبینار در اختیار شما قرار خواهد گرفت.

🆔️ @sbu_mechatronic
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🆔 @electricalqut

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اینستاگرام | آپارات

The video tutorial shows how to use Python and the OpenAI API to generate images from a chat. The steps include installing Python, choosing a coding environment, installing required libraries using pip, creating an API key by registering on the OpenAI website, and writing Python code in Visual Studio Code. The tutorial demonstrates generating different types of images using the API, specifying image types, and improving image quality. It is noted that the results may vary for the free version of the API.
Complete Version:
https://www.youtube.com/watch?v=jF5nEuePlqE

🆔 @MATLAB_House

@MATLABHOUSE

#Python #OpenAI #API #imagegeneration #visualstudiocode #Pillow #requests #chatbot #imageprocessing #computergraphics #artificialintelligence #machinelearning #tutorial #imagequality #imageoutput #programming #Python #API #OpenAI #image_generation #Visual_Studio_Code #Pillow #requests #programming #AI #machine_learning #computer_vision #deep_learning #natural_language_processing #chatbot #image_quality #tutorial

⚜️Neural network course session one::
1️⃣Introduction to Neural Networks

🔵This video provides an introduction to the fascinating world of neural networks. We explore the biological inspiration behind artificial neural networks, drawing parallels between the human brain and these computational models. Key topics covered include:

✅History of neural networks and major milestones
✅Comparison of biological and artificial neuron speeds
✅Loss of neurons with age and neuroplasticity
✅How the brain processes information and learns
✅Applications of neural networks across diverse fields
✅Further reading resources on neural network fundamentals
To see the next meeting earlier, visit the YouTube
🔻YouTube: second session
https://youtu.be/JtBebQ2CJKs

Download the file and codes (in comment)::
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🆔 @MATLAB_House

@MATLABHOUSE


#NeuralNetworks #ArtificialIntelligence #MachineLearning #Neurons #BrainInspired #Neuroplasticity #DeepLearning #AI #AINeuralNetworks #ComputationalNeuroscience #NeuralNetworkApplications

✳️ Deep Network Designer in MATLAB - Quick Guide

🔰 In this tutorial, you’ll learn how to use MATLAB's Deep Network Designer to build and train deep neural networks effortlessly. Whether you're a beginner or advanced user, this step-by-step guide will help you design custom networks, import pre-trained models, adjust layers and hyperparameters, and train/evaluate your models with ease.

Produced by Saeed Heibati and Amirhossein Jalali, with consulting by Naser Pakar.

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@MATLABHOUSE

#DeepLearning #MATLAB #NeuralNetworks #TransferLearning #AI #MachineLearning #DLInMATLAB #DeepNetworkTutorial