Book Image

Neural Network Projects with Python

By : James Loy
Book Image

Neural Network Projects with Python

By: James Loy

Overview of this book

Neural networks are at the core of recent AI advances, providing some of the best resolutions to many real-world problems, including image recognition, medical diagnosis, text analysis, and more. This book goes through some basic neural network and deep learning concepts, as well as some popular libraries in Python for implementing them. It contains practical demonstrations of neural networks in domains such as fare prediction, image classification, sentiment analysis, and more. In each case, the book provides a problem statement, the specific neural network architecture required to tackle that problem, the reasoning behind the algorithm used, and the associated Python code to implement the solution from scratch. In the process, you will gain hands-on experience with using popular Python libraries such as Keras to build and train your own neural networks from scratch. By the end of this book, you will have mastered the different neural network architectures and created cutting-edge AI projects in Python that will immediately strengthen your machine learning portfolio.
Table of Contents (10 chapters)

Model training in Keras

Now that we have created our Siamese neural network, we can start to train our model. Training a Siamese neural network is slightly different than training a regular CNN. Recall that when training a CNN, the training samples are arrays of images, along with the corresponding class label for each image. In contrast, to train a Siamese neural network we need to use pairs of arrays of images, along with the corresponding class label for the pairs of images (that is, 1 if the pairs of images are from the same subject, and 0 if the pairs of images are from different subjects).

The following diagram illustrates the differences between training a CNN and a Siamese neural network:

So far, we have loaded the raw image into an X_train NumPy array, along with an array with the Y_train class labels. We need to write a function that creates these pairs of arrays of...