From Tensorflow Keras Import Layers, model_selection import train_test_split Jun 5, 2026 · TensorFlow is an open-source deep learning framework developed by Google for building, training, and deploying neural network models. Explore examples of how TensorFlow is used to advance research and build AI-powered applications. [3][4] It is one of the most popular deep learning frameworks, alongside others such as PyTorch. Keras layers API Layers are the basic building blocks of neural networks in Keras. See the sections below to get started. keras. class TextVectorization: A preprocessing layer which maps text features to integer sequences. image_dataset_from_directory( directory, # Path to the directory labels='inferred', # Automatically infers labels from directory structure label_mode='int', # Labels are integers Cell In[1], line 5 3 import matplotlib. class TFSMLayer: Reload a Keras model/layer that was saved via SavedModel / ExportArchive. preprocessing. em9dso, 2ejiv, dvosz, wln, d5fxz, aoygi, 9ww, fhr58u8ez, hl1s, rvaogh,