What Transformer Models can do in NLP
Akshay TekamTransformer models are used to solve all kinds of NLP tasks. Transformers are a revolutionary architecture in the field of Natural Language Processing (NLP) that have significantly advanced the state-of-the-art…
Cat and Dog Classification using CNN
This tutorial focuses on developing a system designed to identify images of cats and dogs using CNN. It involves analyzing various images containing cats and dogs to predict which animal…
Understanding L2 Regularization in Artificial Neural Networks (ANN)
In this article, we'll take a look at L2 Regularization in Artificial Neural Networks (ANN) with code using tensorflow library. Using this regularization technique, we can resolve the issues like…
Predicting Graduate Admissions with Artificial Neural Networks
In this article, we'll look at Graduate Admissions problem and try to solve it with Artificial Neural Networks. As this is a regression problem, we'll mostly deal with numerical data.…
Handwritten Digit Classification with Artificial Neural Networks Using the MNIST Dataset
This handwritten digit classification task makes use of neural networks (ANN) to create a model on MNIST dataset to recognize digits from 0 to 9. In this article we'll make…
Predicting Customer Churn with Artificial Neural Networks (ANN)
In this article, we'll explore how ANN can be used to forecast customer churn of a bank for credit card in a simple and understandable way. We we'll also see…
Understanding the Different Types of Neural Networks In Deep Learning
Neural networks are at the heart of many modern technologies, from voice assistants to image recognition systems. But did you know that not all neural networks are created equal? In…
Hyperparameter Tuning Random Forest Using Grid Search CV and Randomized Search CV
Hyperparameter tuning is a critical step in optimizing machine learning models for better performance. In this article, we'll explore hyperparameter tuning techniques, specifically GridSearchCV and RandomizedSearchCV, applied to the Random…