This examination learns about image classification by utilizing the deep neural network (DNN) or otherwise called Deep Learning by utilizing system Tensor Flow.

age is a challenging problem in the deep learning domain. In this article, we will use different techniques of computer vision and NLP to recognize the context of an image and describe …

In this paper we study the image classification using deep learning. We use AlexNet architecture with convolutional neural networks for this purpose. Four test images are selected from the …

This research study about image classification by using the deep neural network (DNN) or also known as Deep Learning by using framework TensorFlow. Python is used as a programming …

Mar 31, 2023 · The present study is based on image classification using deep learning, in which a user will provide the image of a bird, and based on the Deep Neural Networks, the features in …

Oct 1, 2024 · Deep reinforcement learning (DRL) algorithms are effective for image categorization, especially in the real-time scenarios. In this study, we explore how different …

The first challenge is to enrich the input information of the deep learning models by generating pseudo-colored images instead of only using the input original grayscale images.

Understanding the detail architecture of LeNet, VGG16, Inception v3, and ResNet50 with complete block diagram. Learn to train the model on less data through transfer learning. …

In The Deep Learning Approach, The Input Images Are Passed Through A Layered Architecture, With The Final Layer Forming The Classifier Section. The Layers Learn The Characteristics Of …

Deep learning examines neural networks that identify images based on the characteristics of the image. This is achieved to build a complete feature extraction model that can solve the …