Figure 2
From: Effect of data leakage in brain MRI classification using 2D convolutional neural networks
The two different networks based on the VGG16 architecture are shown. Each colored block of layers illustrates a series of convolutions. (a) The first model, named as VGG16-v1 consists of five convolutional blocks followed by three fully connected layers. Only the last three fully connected layers are fine-tuned. (b) On the other hand, the second model, VGG16-v2, has five convolutional blocks followed by a global average pooling layer, and all the layers are fine-tuned.
