Deep Learning

How does Dall-E 2 Work? Concepts, Examples

Have you ever wondered how generative AI is converting words into images? Or how generative AI models create a picture…

1 year ago

Sklearn Neural Network Example – MLPRegressor

Are you interested in using neural networks to solve complex regression problems, but not sure where to start? Sklearn's MLPRegressor…

2 years ago

Backpropagation Algorithm in Neural Network: Examples

Artificial Neural Networks (ANN) are a powerful machine learning / deep learning technique inspired by the workings of the human…

2 years ago

Generative AI: Scaling Techniques for LLM Models

In the rapidly evolving world of artificial intelligence, large language models (LLMs) have emerged as a game-changing force, revolutionizing the…

2 years ago

Meta Unveils SAM and Massive SA-1B Dataset to Advance Computer Vision Research

Meta Researchers have, yesterday, unveiled a groundbreaking new model, namely Segment Anything Model (SAM), alongside an immense dataset, the Segment…

2 years ago

Machine Learning: Identify New Features for Disease Diagnosis

When diagnosing diseases that require X-rays and image-based scans, such as cancer, one of the most important steps is analyzing…

2 years ago

Transposed Convolution vs Convolution Layer: Examples

In the field of computer vision and deep learning, convolutional neural networks (CNNs) are widely used for image recognition tasks.…

2 years ago

CNN Basic Architecture for Classification & Segmentation

As data scientists, we are constantly exploring new techniques and algorithms to improve the accuracy and efficiency of our models.…

2 years ago

Keras: Multilayer Perceptron (MLP) Example

Artificial Neural Networks (ANN) have emerged as a powerful tool in machine learning, and Multilayer Perceptron (MLP) is a popular…

2 years ago

Neural Network & Multi-layer Perceptron Examples

Neural networks are an important part of machine learning, so it is essential to understand how they work. A neural…

2 years ago