The TensorFlow project announced the release of version 2.3.0, featuring new mechanisms for reducing input pipeline bottlenecks, Keras layers for pre-processing, and memory profiling. Any ...

The aim of this project is to build a sequential model using tensorflow that can perform multiclass classification on a given set of data images.

Please reload this page. This project demonstrates image classification on the CIFAR-10 dataset using TensorFlow and Keras. It includes code for data preprocessing, model building, training, ...

cloud-based everything-in-one-place pipeline for machine-learning work. So, like it or not, prepare to use TensorFlow.