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 …
卷积神经网络（Convolutional Neural Network, CNN） | TensorFlow Core
本教程展示了如何训练一个简单的 卷积神经网络 (CNN) 来对 CIFAR 图像 进行分类。 由于本教程使用的是 Keras Sequential API，创建和训练模型只需要几行代码。
합성곱 신경망 | TensorFlow Core
이 튜토리얼은 MNIST 숫자를 분류하기 위해 간단한 합성곱 신경망 (Convolutional Neural Network, CNN)을 훈련합니다. 간단한 이 네트워크는 MNIST 테스트 세트에서 99% 정확도를 달성할 것입니다.
畳み込みニューラルネットワーク (Convolutional Neural Networks)
このチュートリアルでは、MNIST の数の分類をするための、シンプルな 畳み込みニューラルネットワーク (CNN: Convolutional Neural Network) の学習について説明します。
Action Recognition with an Inflated 3D CNN - TensorFlow Hub
Mar 9, 2024 · Action Recognition with an Inflated 3D CNN bookmark_border Save and categorize content based on your preferences On this page Setup Import the necessary modules Helper …
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 …
Deep Convolutional Generative Adversarial Network - TensorFlow
Aug 16, 2024 · The training loop begins with generator receiving a random seed as input. That seed is used to produce an image. The discriminator is then used to classify real images (drawn from the …
Multi-GPU and distributed training | TensorFlow Core
When doing distributed training, the efficiency with which you load data can often become critical. Here are a few tips to make sure your tf.data pipelines run as fast as possible.
Training a neural network on MNIST with Keras - TensorFlow
Oct 4, 2025 · Build an evaluation pipeline Your testing pipeline is similar to the training pipeline with small differences: You don't need to call tf.data.Dataset.shuffle. Caching is done after batching …
Training & evaluation with the built-in methods - TensorFlow
Jul 24, 2023 · This guide covers training, evaluation, and prediction (inference) models when using built-in APIs for training & validation (such as Model.fit(), Model.evaluate() and Model.predict()).