We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to production.Modern Python tools enhance mode ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

Choose the necessary framework dependencies to install based on your deploy environment. After successfully installing these packages, try your first quantization program. Following example code ...

Please note that not all code from all courses will be found in this repository. Some newer code examples (e.g. most of Tensorflow 2.0) were done in Google Colab. Therefore, you should check the ...

The Department of Chemistry and Materials Science is looking for: ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

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 ...