Survey on categorical data for neural networks | Journal of Big Data | Full Text
A Keras model trained using the MNIST data set split into 5 sub data... | Download Scientific Diagram
Data Preprocessing | Applied Deep Learning with Keras
classification - How to prepare data for input to a sparse categorical cross entropy multiclassification model - Cross Validated
Categorical Entity Embedding Using Python Tensorflow Keras | by Amy @GrabNGoInfo | GrabNGoInfo | Medium
Quotient-Remainder Embedding, Dealing With Categorical Data In A DLRM - A Paper Review - Gowri Shankar
python - Add data as channel to keras model - Stack Overflow
Keras: Multiple Inputs and Mixed Data - PyImageSearch
Categorical Entity Embedding Using Python Tensorflow Keras | by Amy @GrabNGoInfo | GrabNGoInfo | Medium
Embedding Layers | Kaggle
How to combine categorical and continuous input features for neural network training - Data Science Stack Exchange
Master Keras for Deep Learning Projects - A Beginner's Guide
Master Keras for Deep Learning Projects - A Beginner's Guide
Keras: Multiple Inputs and Mixed Data - PyImageSearch
python - Keras Numerical and Categorical Features Embedding for RNNs - Stack Overflow
Structured data classification from scratch
Customer Analytics: Using Deep Learning With Keras To Predict Customer Churn
Using Categorical Data with One Hot Encoding | Kaggle
Enhancing categorical features with Entity Embeddings | by Rodrigo Bressan | Towards Data Science
Deep embedding's for categorical variables (Cat2Vec) | by Prajwal Shreyas | Towards Data Science
Building a One Hot Encoding Layer with TensorFlow | by George Novack | Towards Data Science
