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:  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 ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

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

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 ...

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 ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to language for AI because it’s relatively easy to learn and has a massive library of ...

Abstract: With the development of medical digitization technology, artificial intelligence and big data technology, the medical model is gradually changing from treatment-oriented to ...

Lucid is a collection of infrastructure and tools for research in neural network interpretability. We're not currently supporting tensorflow 2! If you'd like to use lucid in colab which defaults to ...