Flatten and Dense layers | Computer Vision with Keras p.6

We will see how to apply flatting operation and dense layer into a convolutional neural network with Keras Flatten and Dense layers in a simple VGG16 architetture To better understand the concept and purpose of using Flatten and Dense layers let’s see this simple architecture of the VGG16 model as an example. There are several […]

VGG16 from scratch | Computer Vision with Keras p.7

We will see how to make the VGG16 model from scratch with Keras, I will enter all the steps until we arrive at the result. The VGG16 Neural Network is the result of a Very Deep Convolutional Neural Network for Large-Scale Image Recognition research by Karen Simonyan and Andrew Zisserman. The model achieves 92.7% and […]