machine learning
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Tutorial en español: Cómo crear tu primer modelo en Keras para Machine Learning 🤖
En este tutorial, te voy a guiar paso a paso para que puedas crear tu primer modelo en Keras, una…
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Becoming a GPU Programming Expert: Transitioning from PyTorch to OpenAI’s Triton!
In recent years, there has been a surge in interest in GPU programming, especially in the field of deep learning…
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Beginner’s Guide to TensorFlow 2.0: Deep Learning Demo with Simplilearn
TensorFlow 2.0 is an open-source deep learning framework developed by Google that provides a set of tools and libraries for…
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A quick guide to PyTorch’s squeeze() function
In PyTorch, the squeeze() function is used to remove single-dimensional entries from the shape of a tensor. This can be…
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02 – Python and scikit-learn – Installing scikit-learn
Neste tutorial, vamos abordar o processo de instalação do pacote scikit-learn, uma biblioteca de aprendizado de máquina em Python que…
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Getting Started with TensorFlow.js
TensorFlow.js is an open-source library developed by Google that allows you to build and deploy machine learning models right in…
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Scikit-learn Tutorial 7: Understanding Support Vector Machines (SVM) with Machine Learning
In this tutorial, we will discuss Support Vector Machines (SVM) in the context of machine learning using the Scikit-learn library…
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Simplifying Neural Networks with Tensorflow Playground
Neural networks are a fundamental building block of modern artificial intelligence, used in a wide range of applications such as…
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Understanding the Importance of Features in Decision Trees using Scikit-learn in Python for Machine Learning with Codegnan
Feature importance is a crucial concept in machine learning, as it helps to identify which features or variables have the…
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TensorFlow: A Google’s Machine Learning Platform // Programmer’s Dictionary
TensorFlow: Uma plataforma de Machine Learning da Google TensorFlow é uma plataforma de código aberto desenvolvida pela Google para Machine…
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