Yachika Anand·Jul 13Don’t Train From Scratch: Standing on ImageNet’s ShouldersPart 3: you don’t have 1.4 million images or a data-centre — so borrow a network that already learned to see. Meet transfer learning.A response icon1A response icon1
Tharindu NR·Apr 23VGG16 model for leaf detection in the Leaf Classification KaggleThe VGG16 model is a popular deep convolutional neural network (CNN) that was originally designed for image recognition tasks. We’ll use…
Harshit Goswami·Apr 21Improving Neural Network Architecture: VGG16 with Dropout vs Global Average PoolingOverview
Harsh Sharma·Apr 13How CNNs Learn to See What Radiologists SeeA look at why convolutional neural networks are surprisingly well-suited for medical image analysis and what they’re actually detecting…
Xiaomei Ge·Feb 1Image Processing with Deep Neural NetworksThe pre-trained convolutional neural network (CNN) architecture, like VGG16, is a model that has been trained on the massive ImageNet…
Msridharansundaram·Dec 19, 2025FPGA vs GPU: When Hardware Acceleration Actually MattersLessons from deploying a VGG network on both platforms — and why the results surprised me
