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Exploring the Landscape of Machine Learning: Techniques, Applications, and...
Home » classification Table of Contents Exploring the Landscape of Machine Learning: Techniques, Applications, and Insights Introduction: The Power of Machine Learning in Modern Industries What Is...
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PyTorch image classification with pre-trained networks
In this tutorial, you will learn how to perform image classification with pre-trained networks using PyTorch. Utilizing these networks, you can accurately classify 1,000 common object categories in...
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PyTorch: Training your first Convolutional Neural Network (CNN)
In this tutorial, you will receive a gentle introduction to training your first Convolutional Neural Network (CNN) using the PyTorch deep learning library. This network will be able to recognize...
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Breaking captchas with deep learning, Keras, and TensorFlow
In the past, we’ve worked with datasets that have been pre-compiled and labeled for us — but what if we wanted to go about creating our own custom dataset and then training a CNN on it? In this...
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Smile detection with OpenCV, Keras, and TensorFlow
In this tutorial, we will be building a complete end-to-end application that can detect smiles in a video stream in real-time using deep learning along with traditional computer vision techniques. To...
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Intro to PyTorch: Training your first neural network using PyTorch
In this tutorial, you will learn how to train your first neural network using the PyTorch deep learning library. This tutorial is part two in our five part series on PyTorch deep learning...
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Easy Hyperparameter Tuning with Keras Tuner and TensorFlow
In this tutorial, you will learn how to use the Keras Tuner package for easy hyperparameter tuning with Keras and TensorFlow. This tutorial is part four in our four-part series on hyperparameter...
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Hyperparameter tuning for Deep Learning with scikit-learn, Keras, and TensorFlow
In this tutorial, you will learn how to tune the hyperparameters of a deep neural network using scikit-learn, Keras, and TensorFlow. This tutorial is part three in our four-part series on...
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Grid search hyperparameter tuning with scikit-learn ( GridSearchCV )
In this tutorial, you will learn how to grid search hyperparameters using the scikit-learn machine learning library and the GridSearchCV class. We’ll apply the grid search to a computer vision...
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A gentle guide to training your first CNN with Keras and TensorFlow
In this tutorial, you will implement a CNN using Python and Keras. We’ll start with a quick review of Keras configurations you should keep in mind when constructing and training your own CNNs. We’ll...
View ArticleClik here to view.
PyTorch image classification with pre-trained networks
In this tutorial, you will learn how to perform image classification with pre-trained networks using PyTorch. Utilizing these networks, you can accurately classify 1,000 common object categories in...
View ArticleClik here to view.
PyTorch: Training your first Convolutional Neural Network (CNN)
In this tutorial, you will receive a gentle introduction to training your first Convolutional Neural Network (CNN) using the PyTorch deep learning library. This network will be able to recognize...
View ArticleClik here to view.
Breaking captchas with deep learning, Keras, and TensorFlow
In the past, we’ve worked with datasets that have been pre-compiled and labeled for us — but what if we wanted to go about creating our own custom dataset and then training a CNN on it? In this...
View ArticleClik here to view.
Smile detection with OpenCV, Keras, and TensorFlow
In this tutorial, we will be building a complete end-to-end application that can detect smiles in a video stream in real-time using deep learning along with traditional computer vision techniques. To...
View ArticleClik here to view.
Intro to PyTorch: Training your first neural network using PyTorch
In this tutorial, you will learn how to train your first neural network using the PyTorch deep learning library. This tutorial is part two in our five part series on PyTorch deep learning...
View ArticleClik here to view.
Easy Hyperparameter Tuning with Keras Tuner and TensorFlow
In this tutorial, you will learn how to use the Keras Tuner package for easy hyperparameter tuning with Keras and TensorFlow. This tutorial is part four in our four-part series on hyperparameter...
View ArticleClik here to view.
Hyperparameter tuning for Deep Learning with scikit-learn, Keras, and TensorFlow
In this tutorial, you will learn how to tune the hyperparameters of a deep neural network using scikit-learn, Keras, and TensorFlow. This tutorial is part three in our four-part series on...
View ArticleClik here to view.
Grid search hyperparameter tuning with scikit-learn ( GridSearchCV )
In this tutorial, you will learn how to grid search hyperparameters using the scikit-learn machine learning library and the GridSearchCV class. We’ll apply the grid search to a computer vision...
View ArticleClik here to view.
A gentle guide to training your first CNN with Keras and TensorFlow
In this tutorial, you will implement a CNN using Python and Keras. We’ll start with a quick review of Keras configurations you should keep in mind when constructing and training your own CNNs. We’ll...
View ArticleClik here to view.
LeNet: Recognizing Handwritten Digits
The LeNet architecture is a seminal work in the deep learning community, first introduced by LeCun et al. in their 1998 paper, Gradient-Based Learning Applied to Document Recognition. As the name of...
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