scikit-learn
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Justify Your Text in PySimpleGUI 2020: Part 11 (Left, Center, Right)
In PySimpleGUI 2020, you can easily justify the text within your GUI elements such as buttons, labels, input fields, and…
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Tutorial su come creare un’applicazione in Python con Kivy in italiano
Prima di iniziare a creare la tua app in Python con Kivy, assicurati di avere installato Python sul tuo computer…
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Resetting a Spinbox in Tkinter: Python GUI Tutorial #130
In this tutorial, we will be discussing how to reset a Spinbox with Tkinter in Python. Spinbox is a widget…
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Creating a PyQt LCD Clock using QTime
In this tutorial, we will create a PyQt application that displays a digital clock using the QLCDNumber widget and the…
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Ultimate Guide to Deep Learning in 2 Minutes! – Tensorflow, Keras, PyTorch Edition
【深層学習】２分で徹底解説！〜Tensorflow・Keras・PyTorch編〜 深層学習は、機械学習の一種であり、複数の隠れ層を持つニューラルネットワークを用いて高度な情報処理を行う手法です。Tensorflow、Keras、PyTorchは深層学習を実装するための主要なライブラリであり、それぞれ異なる特徴や利点があります。 Tensorflow TensorflowはGoogleが開発したオープンソースの深層学習ライブラリであり、ニューラルネットワーク構築、トレーニング、デプロイメントなどをサポートしています。Tensorflowは静的なグラフ表現を使った計算により高いパフォーマンスを実現しています。 Tensorflowの基本的な使い方は以下の通りです。 ライブラリのインポート import tensorflow as tf モデルの構築 model = tf.keras.Sequential([ tf.keras.layers.Dense(128, activation=’relu’, input_shape=(784,)), tf.keras.layers.Dropout(0.2), tf.keras.layers.Dense(10, activation=’softmax’)…
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Implementing a Classification Model with Pytorch for CIFAR-10
In this tutorial, we will build a classification model using PyTorch on the CIFAR-10 dataset. CIFAR-10 is a well-known dataset…
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Using TensorFlow Lite for Real-time Object Detection on Mobile Devices
Real-time object detection on a phone using TensorFlow Lite is a powerful tool that can be used for a variety…
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Mathematics of Machine Learning/Data Analysis/Probability Theory/Statistics/Linear Algebra/Calculus
In this tutorial, we will cover the basics of math topics relevant to machine learning, data analysis, probability theory, statistics,…
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Complete Tutorial on Using Glue Bottle for Rangoli with Voice Demonstration
Rangoli is a traditional Indian art form where intricate patterns and designs are created on the floor using colored powders,…
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Flask API integration for Llama3 Full Rag with Ollama, LangChain, and ChromaDB, including PDF upload
In this tutorial, we will explore how to use Llama3 Full Rag API with Ollama, LangChain, and ChromaDB, and create…
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