Logistic Regression is a popular machine-learning algorithm that is used for classification tasks. In this tutorial, we will learn how to implement Logistic Regression in TensorFlow 2.0 using the tf.keras.Model API. We will also learn how to split our data into training, validation, and testing sets in order to train Continue Reading
TensorFlow
Image Segmentation-based Background Removal in TensorFlow
Image segmentation is an important area of computer vision that involves dividing an image into multiple segments, each of which corresponds to a different object. Background removal is one of the crucial applications of image segmentation that involves separating foreground objects from the background. This can be useful in various Continue Reading
What is MultiResUNET?
MultiResUNET is an architecture developed by Nabil Ibtehaz et al. for the purpose of multimodal biomedical image segmentation at the Bangladesh University of Engineering and Technology. It is an improvement over the existing UNET architecture as it outperforms U-Net on the five biomedical datasets. The high performance of MultiResUNET is Continue Reading
What is Intersection over Union (IoU) in Object Detection?
Intersection over Union (IoU) is a popular evaluation metric used in the field of computer vision and object detection. It is used to calculate the overlap between two bounding boxes and is used to evaluate the accuracy of object detection algorithms. IoU is a value between 0 and 1 that Continue Reading
Human Face Detection using Multi-task Cascaded Convolutional Networks in TensorFlow
In recent years, advances in machine learning and deep learning techniques have revolutionized the field of computer vision. With the help of these techniques, we can now detect and identify objects in real time with remarkable accuracy. One of the most popular tasks in computer vision is human face detection, Continue Reading
Simple Object Detection with Bounding Box Regression in TensorFlow
Object detection is a fundamental task in computer vision that involves identifying and locating objects within an image or video. In this post, we will be discussing a simple method for object detection using bounding box regression in TensorFlow. Bounding box regression is a technique used to predict the location Continue Reading
TensorFlow vs PyTorch
TensorFlow and PyTorch are both popular open-source frameworks for building and training machine learning models. Both frameworks have their own strengths and weaknesses, and the choice between them depends on the specific needs of the project. Introduction to TensorFlow and PyTorch TensorFlow TensorFlow, which was developed by Google, is a Continue Reading
Implementing Linear Regression in TensorFlow
TensorFlow is a powerful library for machine learning that allows for the easy implementation of various algorithms, including linear regression. In this tutorial, we will be using TensorFlow tape gradient to implement a linear regression model and plot the loss graph and x and y on matplotlib. First, we will Continue Reading
Human Face Landmark Detection in TensorFlow using Pre-trained MobileNetv2
Today, in this blog post, we will learn how to train a Convolutional Neural Network (CNN) to detect human facial landmarks, such as eyes, mouth, nose, jawline and more. We will use the pre-trained MobileNetv2 from TensorFlow to build our model and then train it on Landmark Guided Face Parsing Continue Reading
VGG19 UNET Implementation in TensorFlow
In this tutorial, we are going to implement the U-Net architecture in TensorFlow, where we will replace its encoder with a pre-trained VGG19 architecture. The VGG19 is already trained on the ImageNet classification dataset. Therefore, it would have already learned the required features, which would help to boost the overall Continue Reading