Abstract: A Deep Q-Network (DQN)-driven strategy is employed to optimize personalized English learning paths. Multi-dimensional capability modeling and deep feature extraction are applied to construct ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...

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 ...

The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...

Google upgraded AI Mode within Google Search with Gemini 2.5 Pro model and Deep Search in AI Mode. Plus, Google added AI-powered local business calling to check on local pricing, an agentic search ...

ImportError: DLL load failed while importing _pywrap_tensorflow_internal: Une routine d’initialisation d’une bibliothèque de liens dynamiques (DLL) a échoué. from ...

Abstract: The Deep Q-Network (DQN) has emerged as a robust deep reinforcement learning algorithm capable of learning optimal policies in complex, high-dimensional environments. The Snake game presents ...