Some Fine tuning models with Keras: vgg16, vgg19, inception-v3 and xception

Overview

On this article, I'll try four image classification models, vgg16, vgg19, inception-v3 and xception with fine tuning. With Keras, we can easily try this.
About fine tuning itself, please check the article below.

• How to make Fine tuning model by Keras

The purpose of this article is to understand the points of fine tuning by doing some fine tuning models at once.

InceptionV3 Fine-tuning model: the architecture and how to make

Overview

InceptionV3 is one of the models to classify images. We can easily use it from TensorFlow or Keras.
On this article, I’ll check the architecture of it and try to make fine-tuning model.

There are some image classification models we can use for fine-tuning.
Those model’s weights are already trained and by small steps, you can make models for your own data.

About the fine-tuning itself, please check the followings.

• How to make Fine tuning model by Keras
• VGG19 Fine-tuning model

Or TensorFlow and Keras have nice documents of fine-tuning.

From TensorFlow

• How to Retrain Inception’s Final Layer for New Categories

From Keras

• Applications

VGG16 Fine-tuning model

Overview

On the article, VGG19 Fine-tuning model, I checked VGG19’s architecture and made fine-tuning model. On the same way, I’ll show the architecture VGG16 and make model here.

There are some image classification models we can use for fine-tuning.
Those model's weights are already trained and by small steps, you can make models for your own data.

About the fine-tuning itself, please check the followings.

• How to make Fine tuning model by Keras
• VGG19 Fine-tuning model

VGG19 Fine-tuning model

Overview

On the article, How to make Fine tuning model, I made fine-tuning models by some pre-trained models. At that time, I didn't write about the pre-trained model's architecture and the train target area based on it.

This time, I foucused on the VGG19 as pre-trained model. And in a nutshell, I tried to make fine-tuning model in better manner, checking some important points.

How to make Fine tuning model by Keras

Overview

Fine-tuning is one of the important methods to make big-scale model with a small amount of data.

Usually, deep learning model needs a massive amount of data for training. But it is not always easy to get enough amount of data for that. To be added, in many cases, it takes much time to make model from the viewpoint of training. I know you don’t like to see one epoch of training using the time from sunrise to sunset. In some areas like image classification, you can use fine-tune method to solve this situation.

For example, when you try to make image classification model, very deep CNN model works well(sometimes and other time not). To make that kind of model, it is necessary to prepare a huge amount of data. However, by using the model trained by other data, it is enough to add one or some layers to that model and train those. It saves much time and data.

Here, I show this type of method, fine-tuning, by Keras.