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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.
- Beginner Quickstart
This tutorial is a Google Colaboratory notebook. Python...
- CNN
This tutorial demonstrates training a simple Convolutional...
- Transformers
This tutorial demonstrates how to create and train a...
- Save and Load
Saving a fully-functional model is very useful—you can load...
- Pix2Pix
This tutorial demonstrates how to build and train a...
- Data Augmentation
This tutorial demonstrated data augmentation using Keras...
- Image Classification
This tutorial showed how to train a model for image...
- Basic Classification
This guide trains a neural network model to classify images...
- Beginner Quickstart
16 sie 2024 · This tutorial is a Google Colaboratory notebook. Python programs are run directly in the browser—a great way to learn and use TensorFlow. To follow this tutorial, run the notebook in Google Colab by clicking the button at the top of this page. In Colab, connect to a Python runtime: At the top-right of the menu bar, select CONNECT.
Learn the foundations of TensorFlow with tutorials for beginners and experts to help you create your next machine learning project. Learn more. For Web. Use TensorFlow.js to create new machine learning models and deploy existing models with JavaScript. Learn more. For Mobile & Edge.
18 cze 2024 · TensorFlow is a software library that excels in numerical computations and large-scale data analysis. It underpins various Google products, including search and recommendations, demonstrating its real-world prowess. TensorFlow offers two primary interfaces for building ML models:
14 lut 2023 · Tensorflow is a powerful library to build deep-learning models. It has all the tools we need to construct neural networks to solve problems like image classification, sentiment analysis, stock market predictions, etc.
16 sty 2019 · In this TensorFlow beginner tutorial, you'll learn how to build a neural network step-by-step and how to train, evaluate and optimize it.
Introduction to TensorFlow. Free. Before you can build advanced models in TensorFlow 2, you will first need to understand the basics. In this chapter, you’ll learn how to define constants and variables, perform tensor addition and multiplication, and compute derivatives.