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Course link:https://aicourse.thinkific.com/courses/new-course-1 00:00 – Introduction to Convolution 06:12 – Convolution Animations 16:30 – Convolution using Pytorch In this video, we dive deep into the core building block of Convolutional Neural Networks: We begin by understanding how an image is represented as a numeric array and how a 3×3 kernel (filter) slides over the input image to generate a feature map. Using clear examples, dot-product demonstrations, and step-by-step window shifting, you will learn how the output size is calculated using the formula (input size − kernel size + 1) and how padding can preserve dimensions. After visual understanding, we implement the convolution operation manually in NumPy using nested loops, patches, and dot products. Then we move toward real-world visuals with animations showing kernel projection, stride effects, and interactive filter demos. Finally, we rewrite the entire convolution process using PyTorch’s nn.Conv2d, explore image pre-processing, tensor dimensions, custom kernels, and view side-by-side original vs convolved images. This complete workflow takes you from concept → NumPy implementation → PyTorch implementation, preparing you for deeper CNN concepts ahead. ✅ Stay Connected to Us. 👉 Twitter: https://twitter.com/AISciencesLearn 👉 Facebook: https://www.facebook.com/AISciencesLearn 👉 LinkedIn: http://www.linkedin.com/company/ai-sciences 👉 Website: http://www.aisciences.io ✅ For Business Inquires: contact@aisciences.io ============================= ✅ Important Python Projects: 👉 Get a look at our course on data science and AI here: https://bit.ly/3thtoUJ 👉 The Python Codes are available at this link: https://www.aisciences.academy/ytube-cfd ✅ Recommended Playlists: 👉 Artificial Intelligence https://www.youtube.com/playlist?list=PLVgEzPHodXi0tO_iLwoZcEXiFPekTZlyj 👉 Machine Learning https://www.youtube.com/playlist?list=PLVgEzPHodXi01AWPo06GOsM-ba_e1PJ1l ✅ Other Videos You Might Be Interested In Watching: 👉 Simplest Password Cracker Using Python | Tips and Tricks | Most Easy https://www.youtube.com/watch?v=EmwmbahsM_E 👉 Build Facebook's Wav2Vec2 Model For Speech To Text Application | Easy Python Tutorial https://www.youtube.com/watch?v=t_qDAqUfqhY 👉 Fake Currency Detection Using Logistic Regression Model | Python | Tutorial For Beginners https://www.youtube.com/watch?v=dJO69JzldmQ 👉 Question Answering Bot | AI Based | with Hugging Face Transformers | Python https://www.youtube.com/watch?v=s4rV6Wyp23A ============================= ✅ About AI Sciences. AI Sciences is an e-learning company; the company publishes online courses and books about data science and computer technology for anyone, anywhere. We are a group of experts, Ph.D. students, and young practitioners of artificial intelligence, computer science, machine learning, and statistics. Some of us work for big-name companies like Google, Facebook, Microsoft, KPMG, BCG, and Mazars. We decided to produce courses and books mainly dedicated to beginners and newcomers on the techniques and methods of machine learning, statistics, artificial intelligence, and data science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start with less theory or lengthy reading. Today, we publish more complete books on selected topics for a wider audience. 🔔 Subscribe To our Channel For More Content of Data Science, Machine Learning, and AI: https://www.youtube.com/@AISciencesLearn ================================= #predictionofsocialmediafollowers #socialmediafollowersbymachinelearning #socialmediamarketing #socialmediamarketingforbeginners Disclaimer: We do not accept any liability for any loss or damage which is incurred by you acting or not acting as a result of watching any of my publications. You acknowledge that you use the information I provide at your own risk. Do your own research. Copyright Notice: This video and my YouTube channel contain dialog, music, and images that are the property of AI Sciences. You are authorized to share the video link and channel and embed this video in your website or others as long as a link back to my Youtube Channel is provided. © AI Sciences
