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Articles tagged with #deeplearning
Previously, I wrote an article titled "Recurrent Neural Network," where I delved into the inner workings of Recurrent Neural Networks (RNNs) and their significance in the field of machine learning. Subsequently, I provided a tutorial “Implementing LS...
A while ago, I authored an article Implementing ResNet CNN that provided a detailed explanation of ResNet Convolutional Neural Networks (CNN) along with an implementation using TensorFlow. In this upcoming article, we will take a closer look at ResNe...
The CIFAR-10 dataset is a widely used collection of images in the field of machine learning. It consists of 60,000 32x32 color images categorized into 10 different classes, with each class containing 6,000 images. These classes include airplanes, aut...
In the realm of popular neural network architectures, a diverse array of layer types is employed, each serving a distinct purpose. In this blog, we will delve into one of the most fundamental components: the linear layer. This layer is characterized ...
My Previous article “ convolutional neural network **“**explained about the architecture of CNN and how it works. Another article “Implementing CNN using TensorFlow” showed how to implement CNN using TensorFlow. In this article, we will explore the p...
In this article, we will explore the Iris flower dataset, a well-known and historically significant dataset in the field of machine learning. Originally introduced by the statistician Ronald Fisher in 1936, this dataset has been widely used for class...
