Training Loop in PyTorch for Beginners PART 2

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=EE-BRfTp2jw

#computervision #deeplearning #pytorch #manufacturing #anomalydetection #Mvtec #Industry4 #ai • • I am Dr. Mohan Dash (AI research engineer), click here for 1:1 consulting: https://topmate.io/balyogi_mohan_dash... • All the codes are provided in the GitHub repo below • In this comprehensive tutorial, we'll guide you through the process of building a robust image classification web application using PyTorch and Streamlit. Starting from scratch, we'll train a PyTorch model to accurately identify defects in images, then deploy it as an interactive web app using Streamlit. • Key takeaways: • Deep dive into PyTorch: Understand the fundamentals of PyTorch for building deep learning models. • Image classification: Learn how to train a PyTorch model to classify images. • Streamlit app development: Discover the power of Streamlit for creating user-friendly web interfaces. • Real-world application: Build a practical image classification app that can be used in various scenarios. • • P.S. Don't forget to subscribe for more on AI and machine learning in action! • 🔗Links🔗 • Data source: https://www.kaggle.com/datasets/giris... • GitHub: https://github.com/mohan696matlab/End... • LinkedIn: / balyogi-mohan-dash • Google Scholar: https://scholar.google.com/citations?... • YouTube Videos that might be interesting for you🎥🎥: • Playlist for the anomaly detection videos: • Visual Anomaly Detection with Deep Le... • Unsupervised Learning: Applied to Industrial Process Fault Detection: • Unsupervised Learning - applied to In... • Explainable AI for Fault Diagnosis: • Explainable AI for Fault Diagnosis • Bearing Fault Diagnosis: • Deep Learning for Bearing Condition M... • ----------------------------------------------------------------- • How to use PyTorch to build a custom image classifier? • How to integrate PyTorch with Streamlit for web applications? • What is the best way to deploy a PyTorch model? • Step-by-step guide to creating an image classification app with PyTorch and Streamlit. • --------------------------------------------------------------

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