Attention-based Image Captioning with Keras
Image captioning is a challenging task at intersection of vision and language. Here, we demonstrate using Keras and eager execution to incorporate an …
Tag: Keras
Keras is a high-level neural networks API that serves as a user-friendly interface for building deep learning models, often backed by TensorFlow or Theano.
Neural style transfer with eager execution and Keras
Continuing our series on combining Keras with TensorFlow eager execution, we show how to implement neural style transfer in a straightforward way. Bas…
Generating images with Keras and TensorFlow eager execution
Generative adversarial networks (GANs) are a popular deep learning approach to generating new entities (often but not always images). We show how to c…
Attention-based Neural Machine Translation with Keras
As sequence to sequence prediction tasks get more involved, attention mechanisms have proven helpful. A prominent example is neural machine translatio…
Predicting Sunspot Frequency with Keras
In this post we will examine making time series predictions using the sunspots dataset that ships with base R. Sunspots are dark spots on the sun, ass…
Simple Audio Classification with Keras
In this tutorial we will build a deep learning model to classify words. We will use the Speech Commands dataset which consists of 65,000 one-second au…
Predicting Fraud with Autoencoders and Keras
In this post we will train an autoencoder to detect credit card fraud. We will also demonstrate how to train Keras models in the cloud using CloudML. …
Deep Learning With Keras To Predict Customer Churn
Using Keras to predict customer churn based on the IBM Watson Telco Customer Churn dataset. We also demonstrate using the lime package to help explain…
Classifying Duplicate Questions from Quora with Keras
In this post we will use Keras to classify duplicated questions from Quora. Our implementation is inspired by the Siamese Recurrent Architecture, with…
Word Embeddings with Keras
Word embedding is a method used to map words of a vocabulary to dense vectors of real numbers where semantically similar words are mapped to nearby po…
