Dropout is a strategy used to mitigate overfitting in neural networks. It works by randomly deactivating a certain percentage of neurons in the network during each training update. This approach encourages the network to develop several independent representations of the…
The steps for NLP (Natural Language Processing) typically include the following: Simple Example of NLP pipeline using python This example uses the NLTK library in python to perform tokenization, stop word removal, and stemming on a sample text. The output…
Lets Explore How Pearl is Transforming Theory into Practice: Lets Learn how to use it To install Pearl, you can simply clone this repo and pip install Let’s Start To kick off a Pearl agent with a classic reinforcement learning…
Reinforcement learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with its environment and receiving feedback in the form of rewards or penalties. The agent’s goal is to learn a policy, which…
Explainable AI (XAI) is a branch of AI research that focuses on developing machine learning models that can be easily understood and explained by humans. The goal of XAI is to create models that are transparent, interpretable, and accountable, making…
One of my students ask me about this question, so I thought why not write a blog about it as it can help many beginners? One way to use Google Colaboratory for deep learning projects is to clone a GitHub…