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 ...

The sprawling blocks of code produced by AI first need structural edits, followed by line-level refinements. Through a volley of prompts — like successive rounds of edits — the editor-coder minimizes ...

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 ...