This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

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 ...

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

In 2025, the integration of AI and Python will become increasingly tight. OpenAI's free inference model, o3 - mini, has excelled in areas such as mathematical code generation and physical simulation.

According to a report by India Today, the Ministry of Education has rolled out five Artificial Intelligence (AI) courses ...

Overviews Explore the best NLP books of 2025 to master AI, ML, and deep learning concepts.From classics to modern guides, discover NLP resources shaping tomorro ...

Fig. 1: Modeling qubits in a realistic way involves large-scale atomistic models with possibly amorphous materials, disorder, ...

In the dawn of the age of advanced AI, academic leaders are launching new programs to bring students on pace with the rapid transformation of information technology. Courses for developing AI literacy ...

By using PyTorch — a popular open-source AI library — Dr. Betgeri was able to implement automatic differentiation, allowing ...