In this tutorial, we will be learning the process of One hot encoding of datasets. One hot encoding transforms our categorical labels into vectors of zeros and ones. However, our r.... Read More
In this tutorial, we are going to learn Monte Carlo simulation. It is used to get the estimated probability of different outcomes. This is usually done in processes in which there .... Read More
Conv2D is a 2-dimensional convolutional layer provided by the TensorFlow Keras API. It is one of the fundamental building blocks of Convolutional Neural Networks (CNNs). The Conv2D.... Read More
In deep learning, the learning rate is an important hyperparameter that controls the weights of a neural network during the training process. It helps to control the speed or rate .... Read More
In this tutorial, we will explore the architecture and inner workings of RNNs, understand the concept of recurrent layers, and build a basic RNN model using Keras. What is RNN RNN.... Read More
In this blog, we will explore the process of converting a Numpy array to a Keras tensor. Converting Numpy arrays to TensorFlow tensors is essential for seamlessly integrating Numpy.... Read More
Our OCR (Optical Character Recognition) project aims to develop a robust and efficient system to detect characters and digits from an image. We are going to use Keras deep learning.... Read More
In this tutorial, we learn how to count the number of objects in an image or video using OpenCV in Python. What is OpenCV OpenCV is a Python library that allows you to perform comp.... Read More