Image classification | TensorFlow Core
Apr 3, 2024 · This tutorial shows how to classify images of flowers using a tf.keras.Sequential model and load data using tf.keras.utils.image_dataset_from_directory. It demonstrates the following concepts: …
Convolutional Neural Network (CNN) - TensorFlow Core
Aug 16, 2024 · This tutorial demonstrates training a simple Convolutional Neural Network (CNN) to classify CIFAR images. Because this tutorial uses the Keras Sequential API, creating and training …
Basic classification: Classify images of clothing - TensorFlow
Aug 16, 2024 · This guide trains a neural network model to classify images of clothing, like sneakers and shirts. It's okay if you don't understand all the details; this is a fast-paced overview of a complete …
Transfer learning and fine-tuning - TensorFlow Core
Aug 16, 2024 · In this tutorial, you will learn how to classify images of cats and dogs by using transfer learning from a pre-trained network. A pre-trained model is a saved network that was previously …
Image segmentation | TensorFlow Core
Aug 16, 2024 · This tutorial focuses on the task of image segmentation, using a modified U-Net. What is image segmentation? In an image classification task, the network assigns a label (or class) to each …
Classification on imbalanced data - TensorFlow Core
Aug 20, 2024 · Imbalanced data classification is an inherently difficult task since there are so few samples to learn from. You should always start with the data first and do your best to collect as many …
Video classification with a 3D convolutional neural network
Aug 16, 2024 · This tutorial demonstrates training a 3D convolutional neural network (CNN) for video classification using the UCF101 action recognition dataset. A 3D CNN uses a three-dimensional filter …
Transfer learning & fine-tuning - TensorFlow Core
Apr 12, 2024 · This is adapted from Deep Learning with Python and the 2016 blog post "building powerful image classification models using very little data". Freezing layers: understanding the …
An Introduction to Biomedical Image Analysis with TensorFlow and DLTK
Jul 3, 2018 · Guest post by Martin Rajchl, S. Ira Ktena and Nick Pawlowski — Imperial College London DLTK, the Deep Learning Toolkit for Medical Imaging extends TensorFlow to enable deep learning …
Data augmentation | TensorFlow Core
Jul 19, 2024 · After training, you can attach the preprocessing layers before export. You can find an example of the first option in the Image classification tutorial. Let's demonstrate the second option …