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CNN Architecture explained

In this video, we learn all about the Convolutional Neural Network (CNN) Architecture and it’s 4 building blocks: Filtering layers Max pooling layers Flatten layer Fully connected layer 0:00 CNN architecture overview 4:04 Filtering layers 13:20 Max pooling layers 17:25 Flatten layer 18:04 Fully connected layer 19:43 Parameters to optimize in a CNN Filtering animation shown in the lecture: https://poloclub.github.io/cnn-explai... ================================================= ✉️ Join our FREE Newsletter: https://vizuara.ai/our-newsletter/ ================================================= Vizuara philosophy: As we learn AI/ML/DL the material, we will share thoughts on what is actually useful in industry and what has become irrelevant. We will also share a lot of information on which subject contains open areas of research. Interested students can also start their research journey there. Students who are confused or stuck in their ML journey, maybe courses and offline videos are not inspiring enough. What might inspire you is if you see someone else learning and implementing machine learning from scratch. No cost. No hidden charges. Pure old school teaching and learning. ================================================= 🌟 Meet Our Team: 🌟 🎓 Dr. Raj Dandekar (MIT PhD, IIT Madras department topper) 🔗 LinkedIn:   / raj-abhijit-dandekar-67a33118a   🎓 Dr. Rajat Dandekar (Purdue PhD, IIT Madras department gold medalist) 🔗 LinkedIn:   / rajat-dandekar-901324b1   🎓 Dr. Sreedath Panat (MIT PhD, IIT Madras department gold medalist) 🔗 LinkedIn:   / sreedath-panat-8a03b69a   🎓 Sahil Pocker (Machine Learning Engineer at Vizuara) 🔗 LinkedIn:   / sahil-p-a7a30a8b   🎓 Abhijeet Singh (Software Developer at Vizuara, GSOC 24, SOB 23) 🔗 LinkedIn:   / abhijeet-singh-9a1881192   🎓 Sourav Jana (Software Developer at Vizuara) 🔗 LinkedIn:   / souravjana131