Today, we are going to implement a simple file transfer TCP client-server program in the python programming language. Here, the server is able to handle multiple clients simultaneously by using multiple threads. The server assigns each client a thread to handle communication with that client. Outline Architecture Functions of the...
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...
This article covers an overall summary of the MobileViT: Light-Weight, General-Purpose, and Mobile-Friendly Vision Transformers research paper. MobileViT is a lightweight and general-purpose vision transformer for mobile vision tasks. It combines the strength of the standard CNN (Convolutional Neural Network) and the Vision Transformers. It has outperformed several CNNs and...
In this blog post, we are going to learn about the Vision Transformer (ViT). It is a pure Transformer based architecture used for image classification tasks. Vision Transformer (ViT) has the ability to replace the standard CNNs while achieving excellent results. The Vision Transformer (ViT) attains excellent results when pre-trained...
Hi Nikhil, Thanks for your dedications and explored very well. it is great helps to me. by Palani
ImportError: cannot import name 'load_data' from 'data' (C:\Users\Aravinda\anaconda3\lib\site-packages\data\__init__.py)
sir can you share a code of using squeeze and excitation network on custom CNN for a classification
Hey Nikhil, Very nice, to-the-point article on transfer learning. For a small size of dataset, an image augmentation along with…
Truly good blog short article and also valuable.