The world of artificial intelligence (AI) is divided into two main camps: open-source AI and corporate AI. Both have their ...

Overview: Building AI models begins with clear goals, clean data, and selecting appropriate algorithms.Beginners can use tools like Python, scikit-learn, and Te ...

When deploying large-scale deep learning applications, C++ may be a better choice than Python to meet application demands or to optimize model performance. Therefore, I specifically document my recent ...

Here are the best open-source and free-to-use AI models for text, images, and audio, organized by type, application, and licensing considerations.

QAT and PTQ can be combined with other model optimization techniques like weight pruning and clustering. Arm has actively contributed to TensorFlow’s Model Optimization Toolkit on this subject. This ...

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 ...