Abstract: This paper proposes a hybrid deep learning model integrating DenseNet201 and InceptionV3 to address the challenges in achieving accurate and reliable cervical cancer classification. Current ...

The tech industry is evolving rapidly, with automation, AI, and cloud adoption transforming every sector. Future tech skills are no longer optional; they define the careers of tomorrow as ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

Abstract: Graph neural networks have -enabled the application of deep learning to problems that can be described by graphs, which are found throughout the different fields of sci-ence, from physics to ...

TensorFlow is one of the best software libraries suited for AI and machine learning. It was developed by the Google Brain Team by partnering with Google’s machine intelligence research organization.

Machines can now learn from data to make predictions by using machine learning. It has become a transformative force across many industries. In the world of machine learning, Python is a major player ...

TensorFlow has emerged as one of the most popular frameworks for building machine learning models. Whether you are a beginner or an experienced data scientist, understanding how to build AI models ...

Install the dependencies using the commands below. git clone https://github.com/visiongeeklabs/human-activity-detection.git cd human-activity-detection wget https ...