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Curated List of Tensorflow Tutorials. Tensorflow Tutorials has 11 repositories available. Follow their code on GitHub.
- GitHub - Hvass-Labs/TensorFlow-Tutorials: TensorFlow Tutorials with ...
These tutorials are intended for beginners in Deep Learning...
- GitHub - aymericdamien/TensorFlow-Examples: TensorFlow Tutorial and ...
Build efficient data pipeline with TensorFlow 2.0 (Numpy...
- GitHub - Hvass-Labs/TensorFlow-Tutorials: TensorFlow Tutorials with ...
These tutorials are intended for beginners in Deep Learning and TensorFlow. Each tutorial covers a single topic. The source-code is well-documented. There is a YouTube video for each tutorial. Tutorials for TensorFlow 2. The following tutorials have been updated and work with TensorFlow 2 (some of them run in "v.1 compatibility mode").
16 maj 2020 · Build efficient data pipeline with TensorFlow 2.0 (Numpy arrays, Images, CSV files, custom data, ...). Build and Load TFRecords (notebook). Convert data into TFRecords format, and load them with TensorFlow 2.0+.
19 wrz 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.
16 sie 2024 · TensorFlow Core. TensorFlow 2 quickstart for beginners. Run in Google Colab. View source on GitHub. Download notebook. This short introduction uses Keras to: Load a prebuilt dataset. Build a neural network machine learning model that classifies images. Train this neural network. Evaluate the accuracy of the model.
4 lut 2019 · As part of the MIT Deep Learning series of lectures and GitHub tutorials, we are covering the basics of using neural networks to solve problems in computer vision, natural language processing, games, autonomous driving, robotics, and beyond.
2 mar 2023 · Learn basic and advanced concepts of TensorFlow such as eager execution, Keras high-level APIs and flexible model building.
