Credit Card Fraud Detection using Autoencoders in Keras - TensorFlow for Hackers (Part VII)

How Anomaly Detection in credit card transactions works? In this part, we will build an Autoencoder Neural Network in Keras to distinguish between normal and fraudulent credit card transactions. »
Author's profile picture Venelin Valkov on data-science

Human Activity Recognition using LSTMs on Android - TensorFlow for Hackers (Part VI)

Ever wondered how your smartphone, smartwatch or wristband knows when you're walking, running or sitting? We will train an LSTM Neural Network (implemented in TensorFlow) for Human Activity Recognition (HAR) from accelerometer data. The trained model will be exported/saved and added to an Android app. We will learn how to use it for inference from Java. »
Author's profile picture Venelin Valkov on data-science

Making a Predictive Keyboard using Recurrent Neural Networks - TensorFlow for Hackers (Part V)

Have you ever wondered how predictive keyboards work? You know them - those you use or your iOS or Android phone. Let's build a model using a Recurrent Neural Network using Keras that does just that! »
Author's profile picture Venelin Valkov on data-science

TensorFlow for Hackers (Part IV) - Neural Network from Scratch

Let's build Neural Network classifier using only Python and NumPy. We will implement the Backpropagation algorithm and use it to train our model. Finally, our newly created classifier will be used to recognize digits from the MNIST dataset. »
Author's profile picture Venelin Valkov on data-science

TensorFlow for Hackers - Part III

Let's build a Convolutional Neural Network that can distinguish cats from dogs using only raw pixel values. We will use a little helpful library called TFLearn. Is it going to be good enough to correctly classify your cat or a dog? »
Author's profile picture Venelin Valkov on data-science