neural network
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Explaining Neural Networks Simply | Step-by-Step Deep Learning Tutorial 4 with Tensorflow2.0, Keras, and Python
Neural networks are a powerful machine learning model that mimics the way the human brain works to solve complex problems….
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Scikit-learn 91: Multilayer Perceptron for Supervised Learning
In this tutorial, we will discuss how to use Scikit-learn to implement a multilayer perceptron for supervised learning. Multilayer perceptron…
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Learn 36 Machine Learning Models in just 36 Minutes using ScikitLearn, XGBoost, and XAI for Energy Prediction
Machine learning is a powerful tool that can be used to predict energy consumption and optimize energy usage. In this…
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Neural Network Dropout Implementation with Theory and PyTorch Code
Neural networks are a powerful tool for solving complex problems in machine learning. However, they can suffer from overfitting, where…
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Regularization Techniques in Neural Networks: L2 Regularization and Weight Decay – Theory and Implementation in PyTorch
Introduction: In this tutorial, we will discuss L2 regularization, also known as weight decay, in the context of neural networks….
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AI for Software Development: A Beginner’s Guide to AI-Powered Programming | AI Asaan Hai
In recent years, artificial intelligence (AI) has become increasingly integrated into our daily lives. From voice assistants like Siri and…
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Python Programming for Self-Driving Cars
Self-driving cars are a revolutionary technology that uses a combination of sensors, cameras, machine learning algorithms, and decision-making software to…
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Utilize Google CoLab GPU with PyTorch for efficient machine learning program execution.
PyTorch is a popular deep learning framework that provides easy-to-use APIs for building and training neural networks. Google Colab is…
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Tutorial on Neural Networks and Visualization using Python and PyQt – part 1
Neural networks are a type of machine learning model inspired by the human brain, with multiple layers of interconnected nodes…
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Implementing Channel Attention Mechanism in Convolutional Neural Networks Using Tensorflow for Deep Learning
In this tutorial, we will be exploring the concept of attention mechanism in Convolutional Neural Networks (CNNs) and how to…
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