TensorFlow

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ResUNET: A TensorFlow Implementation for Semantic Segmentation

In computer vision and medical image analysis, semantic segmentation plays a pivotal role in understanding and interpreting visual data. One of the prominent architectures in this domain is ResUNet, a fusion of U-Net and ResNet architectures, renowned for its ability to efficiently capture local and global features. In this blog...

The block diagram of ColonSegNet 0

ColonSegNet Implementation In TensorFlow

In this article, we will embark on a deep dive into the implementation of ColonSegNet in TensorFlow. It is a lightweight and real-time colon segmentation architecture and has garnered attention for its efficiency in medical image analysis. In our previous post, we introduced the architecture and its components. Now, let’s...

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Step-by-Step Guide to ResNet50 UNET in TensorFlow

Semantic segmentation, a crucial task in computer vision, plays a pivotal role in various applications such as medical image analysis, autonomous driving, and object recognition. In this tutorial, we will delve into the implementation of ResNet50 UNET using TensorFlow – a powerful combination that leverages the strengths of both the...

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Anime Face Generation with Deep Convolutional GANs (DCGAN)

Generative Adversarial Networks (GANs) have revolutionized the field of artificial intelligence, enabling the creation of realistic images from scratch. In this tutorial, we’ll dive into the implementation of a Deep Convolutional Generative Adversarial Network (DCGAN) specifically designed for generating Anime faces. Whether you’re a coding enthusiast or an anime aficionado,...

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Vanilla GAN in TensorFlow

This tutorial will teach you how to implement basic Generative Adversarial Networks (GANs) in TensorFlow using Keras API. For this purpose, we will utilize the Anime Face Dataset and try to generate realistic anime faces. What is GAN GAN stands for Generative Adversarial Network, a framework in which two neural...

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Logistic Regression in TensorFlow

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...

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DeepLabV3+ ResNet50 Architecture in TensorFlow using Keras

In today’s tutorial, we will be looking at the DeepLabV3+ (ResNet50) architecture implementation in TensorFlow using Keras high-level API. Within this architecture, ResNet50 would be used as the encoder, which is pre-trained on the ImageNet classification dataset. We will begin with the overall architectural understanding of the DeepLabV3+ and ResNet50....

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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...

The Intersection over Union (IoU) score is shown between two boxes 0

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...