C 4.7 | Complete ConvNet | CNN | Machine Learning | Object Detection | EvODN скачать в хорошем качестве

C 4.7 | Complete ConvNet | CNN | Machine Learning | Object Detection | EvODN

Now that we have understood the Convolution layers, Pooling, Fully Connected layer and the softmax, lets put all these pieces together and understand the Convolutional Neural Network Architecture (CNN architecture or ConvNet Architecture) as a whole. We will also see the example of AlexNet and VGGNet which are some of the earliest CNN architectures. ------------------------ This is a part of the course 'Evolution of Object Detection Networks'. See full playlist here:    • Evolution Of Object Detection Networks   ------------------------ References: AlexNet – SuperVision - ImageNet Classification with Deep Convolutional Neural Networks Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton https://papers.nips.cc/paper/4824-ima... VGGNet - VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION Karen Simonyan & Andrew Zisserman https://arxiv.org/abs/1409.1556 Deeplearning.ai course on CNNs:    • Convolutional Neural Networks (Course 4 of...   Credits: https://www.researchgate.net/figure/A... Copyright Disclaimer: Under section 107 of the Copyright Act 1976, allowance is made for “fair use” for purposes such as criticism, comment, news reporting, teaching, scholarship, education and research.