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Introdução ao TensorFlow: O que é o TensorFlow?
Introdução: O TensorFlow é uma biblioteca de código aberto criada e mantida pelo Google para o desenvolvimento de aplicações de…
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Video Tutorial: Introduction to TensorFlow Debugger
TensorFlow Debugger (tfdbg) is a powerful tool for inspecting and debugging TensorFlow models during training. In this tutorial, we will…
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Accelerating TensorFlow performance using TPUs
Training deep learning models can be a computationally intensive process, especially when working with large datasets or complex models. TensorFlow,…
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Increasing the Speed of TensorFlow Models on GPUs
TensorFlow is a powerful framework for building and training deep learning models, but sometimes training can be slow, especially when…
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Google I/O 2017: Open Source TensorFlow Models
Open Source TensorFlow Models is an open source project launched by Google at Google I/O ’17. It provides a collection…
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Using TensorFlow for Probabilistic Machine Learning
Probabilistic machine learning is a powerful approach that allows us to model uncertainty in our data and make predictions with…
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Upgraded Router Guards in v15: A Quick Look
Functional router guards in v15 is a feature that allows developers to define guard functions directly in the route configuration,…
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Projeto final de LSI: Desenvolvimento de um aplicativo em Python utilizando Kivy, KivyMD e Google Firebase
Projeto final: App em Python usando Kivy, KivyMD e Google Firebase Neste tutorial, vamos aprender a criar um aplicativo em…
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TensorFlow: Descubre la librería de inteligencia artificial de Google
TensorFlow es una librería de código abierto desarrollada por Google que se utiliza para la construcción y entrenamiento de modelos…
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Training a K-Nearest Neighbors (KNN) Classifier with Scikit-learn in Python #upgrade2python
In this tutorial, we will walk through the process of training a K-Nearest Neighbors (KNN) classifier using the Scikit-learn library…
