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How to Build a CNN Model for Handwritten Alphabet Recognition | PyTorch Bootcamp Class #19 In this session of the PyTorch Bootcamp, learn how Convolutional Neural Networks (CNN) can recognize handwritten alphabetic images. We will cover dataset preparation, model architecture, training, and evaluation techniques to build an efficient image recognition system. Perfect for beginners and deep learning enthusiasts! 👉 BISP Solutions Inc. was founded in 2012 as an IT consulting and service provider, specializing in Oracle EPM, NetSuite, Fusion, SAP, and BI technologies. Immediately Available consultants on Multiple technologies BISP Solutions Inc. List of our consultants available for C2C requirements: For more details click on the link: https://lnkd.in/d6rRfhkR For Fresh Graduates, B.COM, M.COM: Online and Classroom Training are available. Address- G-2 197 / A Gulmohar Colony, Near Indian Coffee House Bhopal Call us: at +91 769-409-5404 and visit: Contact us: at www.bisptrainings.com For Consulting: https://bispsolutions.com/ Register here: https://bispsolutions.com/contact-us/ -------------------------------------------- 👉 BISP Trainings is the most trusted and branded name in online education across the globe. BISP is known for its high-quality education services. For Training Schedule: https://www.bisptrainings.com/trainin... Training for Machine Learning: http://www.bisptrainings.com/course/D... Register for Machine Learning: https://www.bisptrainings.com/course-... Email Us: [email protected], [email protected] 📞 For more info, call us: Call us: +91 7694095404 or+1 678-701-4914 ► Subscribe: / @bispsolutions ► Facebook: / bisptrainings ► LinkedIn: / 1336. . ► Youtube: / @bispsolutions ► Website: https://bispsolutions.com/ and https://www.bisptrainings.com/ 💡 Stay tuned for Part 2, where we explore model training, optimization, and evaluation! 🔔 Subscribe for more AI and Deep Learning content! 👍 Like & Share if you found this video helpful! 💬 Comment below if you have any questions or suggestions. #PyTorch #NeuralNetwork #DeepLearning #MachineLearning #AI #PyTorchClassification #DataScience #NeuralNetworks #ArtificialIntelligence #ModelTraining