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  1. 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 …

  2. 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 …

  3. Training a neural network on MNIST with Keras - TensorFlow

    Oct 4, 2025 · This simple example demonstrates how to plug TensorFlow Datasets (TFDS) into a Keras model.

  4. Instance Segmentation with Model Garden - TensorFlow Core

    Nov 30, 2023 · This tutorial fine-tunes a Mask R-CNN with Mobilenet V2 as backbone model from the TensorFlow Model Garden package (tensorflow-models). Model Garden contains a …

  5. Tutorials - TensorFlow Core

    Sep 19, 2023 · Complete, end-to-end examples to learn how to use TensorFlow for ML beginners and experts. Try tutorials in Google Colab - no setup required.

  6. 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。

  7. 卷积神经网络(Convolutional Neural Network, CNN)

    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。

  8. Image classification | TensorFlow Core

    Apr 3, 2024 · This tutorial showed how to train a model for image classification, test it, convert it to the TensorFlow Lite format for on-device applications (such as an image classification app), …

  9. Time series forecasting - TensorFlow Core

    Aug 16, 2024 · This tutorial is an introduction to time series forecasting using TensorFlow. It builds a few different styles of models including Convolutional and Recurrent Neural Networks …

  10. 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 …