We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Data scientist Dr. James McCaffrey begins a series on presenting and explaining the most common modern techniques used for neural networks, for which over the past couple of years there have been many ...

Alternatively, you can override the configured back end by defining the environment variable KERAS_BACKEND, either in your shell or in your Python code using the os.environ["KERAS_BACKEND"] property.

Google is one of the pioneers of artificial intelligence (AI). In this article we look at the amazing ways Google is using the most cutting edge AI – deep learning – in many of its operations ...

The neural network used here, GoogleNet Inception v3, has a similar architecture. You can view it as a long assembly line, except any stage of the assembly line may have multiple image classifiers ...

Although neural networks have been studied for decades, over the past couple of years there have been many small but significant changes in the default techniques used. For example, ReLU (rectified ...