About this document
Keras Practical Guide for Data Science by francois is a document available to read on EtoBox.
The document provides an overview of Keras, a high-level neural network API for building and training deep learning models. It covers installing Keras and its dependencies, building basic feedforward and convolutional neural networks, using recurrent networks for sequence data, fine-tuning models, and hyperparameter tuning. The chapters include examples of constructing Keras models for image classification, text generation, and other tasks.
- Author
- francois
- Language
- EN