jaewoo choijaewoochoi.hashnode.dev·Jul 2, 2023VGG: Pioneering Depth in Convolutional Neural NetworksKnown as VGG, this architecture became a pivotal point in the evolution of deep learning, particularly in the realm of computer vision. Deep learning models are composed of layers of artificial neurons or nodes, and the 'depth' of a model is a refere...DeepLearningAI
Bhagirath Deshani bhagirathkd.hashnode.dev·Jan 27, 2023#76 Machine Learning & Data Science Challenge 76What is VGG16 and explain the architecture of VGG16? VGG-16 is a simpler architecture model since it’s not using many hyperparameters. It always uses 3 x 3 filters with the stride of 1 in the convolution layer and uses SAME padding in pooling layers...27 readsMachine Learning & Data Science Interview ChallengesMachine Learning
Khushiyant Chauhankodein.hashnode.dev·Nov 28, 2022Deploy Models with Tensorflow and Docker in ProductionProblem Faced After models are trained and ready to deploy in a production environment, a lack of consistency with model deployment and serving workflows can present challenges in scaling your model deployments to meet the increasing number of ML use...3 likes·50 readstensorflow-serving
Joeliamjoel95.hashnode.dev·Oct 18, 2022VGG paper reviewVGG paper : https://arxiv.org/abs/1409.1556 Abstarct The VGG paper investigates the accuracy pattern while increasing the depth of convolutional networts. The model is a 16-19 depth model using 3x3 convolution layers continuously. In fact, this model...33 readsbackbone
