Train a deep learning model and build a Flask app using it.
Deep learning is a subset of AI(Artificial Intelligence) based on artificial neural networks used for extracting higher-level features through multiple processing layers.
We will see how we can train a deep learning model using the transfer learning technique. For those who don’t know what is transfer learning, it is a method in which already-trained or pre-trained neural networks are present and these pre-trained neural networks are trained using millions of data points.
There are many transfer learning models that exist for training deep learning models. The popular ones are the vgg16 and vgg19 series, the ResNet family, Xception and Inception.
This technique is currently most famous for training deep neural networks because its performance is great when training deep neural networks with less data. Actually, it's instrumental in the data science field because most of the real-world data typically do not have millions of data points for training a robust deep learning model.
You'll see the use of the MobileNet model for transfer learning.
In this article, the deep learning model will recognize the images of the hand sign language digits.
Build a custom deep learning model using the transfer learning technique.
After successfully training a deep-learning model, we’ll see how we can implement it in a Flask app.
We’ll create a nice UI for uploading the image and then the rest is based on our deep learning model. We’ll write the logic for image processing and predict the result.
As an overview, the web app has a good-looking user interface in which we have an image upload area and an image preview section where we can see the preview of the uploaded image. All were made using Bootstrap, CSS, and JS. The web app has a Submit button responsible for handling the prediction and rendering the prediction page, where we will see the result obtained by predicting the image using our custom model.
Build Flask App For Image Recognition Using Deep Learning Model
For source code,
Deep learning model source code on GitHub.
Flask app source code on GitHub.
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