Say Hello to Artificial Intelligence
Say Hello to Artificial Intelligence
Python list comprehension is a syntax for creating a new list from an existing list, typically using a for loop to iterate over the original list and evaluating an expression for each element to create a new element for the new list. List comprehension is a convenient and concise way to create lists, and it …
A Generative Adversarial Network (GAN) is a type of machine learning model that is composed of two parts: a generator and a discriminator. The generator model generates fake data, such as fake images, while the discriminator model attempts to classify the fake data as real or fake. The generator and discriminator models are trained together …
Machine learning is a method of teaching computers to learn from data, without being explicitly programmed. It involves using algorithms to analyze and understand complex data, and to make predictions or decisions based on that data. There are many different types of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. In supervised learning, …
Image classification is the process of assigning a label or category to an image based on its visual content. It is a common task in computer vision, and there are many algorithms and models that can be used to perform image classification. Convolutional Neural Networks (CNNs) are a type of deep learning model that are …
Support Vector Machines (SVM) is a type of supervised machine learning algorithm that is commonly used for classification and regression tasks. It works by finding the best boundary or decision surface that separates the different classes in the data. This boundary is called the hyperplane and the points that are closest to it are called …
A convolutional neural network (CNN) is a type of deep learning model that is commonly used for image classification and other tasks that involve analyzing visual data. CNNs are composed of multiple layers, including convolutional layers, pooling layers, and fully connected layers. The convolutional layers of a CNN are responsible for extracting features from the …
Linear regression is a statistical method for modeling the linear relationship between a dependent variable and one or more independent variables. In Python, this relationship can be modeled using the ‘statsmodels‘ or ‘sklearn‘ libraries. Here is an example of how to perform linear regression in Python using the statsmodels library: In this example, the independent …
As I mentioned in my previous blog, face mask detection uses deep learning techniques. In this blog, you will learn how to accurately detect the face mask and classify it into two categories (face mask and no face mask). For this purpose, first, we trained the deep learning CNN model (MOBILE NET) using the facemask …
Facemask detection using deep learning techniques. In this blog, you will learn how to accurately detect the face mask and classify it into two classes (face mask and no face mask). For this purpose First, we trained the deep learning CNN model(Resnet) using the facemask dataset. After training the model, we used that model with …
Fashion-MNIST is a dataset of Zalando’s article images, consisting of a training set of 60,000 examples and atest set of 10,000 examples. Each example is a 28×28 grayscale image, associated with a label from 10classes.Each training and test example is assigned to one of the following labels: T-shirt/top, trousers, Pullover,Dress, Coat, Sandal, Shirt, Sneaker, Bag, …