Deep Learning

LLMs & Semantic Search Course by Andrew NG, Cohere & Partners

Andrew Ng, a renowned name in the world of deep learning and AI, has joined forces with Cohere, a pioneer…

1 year ago

Quiz: BERT & GPT Transformer Models Q&A

Are you fascinated by the world of natural language processing and the cutting-edge generative AI models that have revolutionized the…

1 year ago

Pre-training vs Fine-tuning in LLM: Examples

Are you intrigued by the inner workings of large language models (LLMs) like BERT and GPT series models? Ever wondered…

1 year ago

Vanishing Gradient Problem in Deep Learning: Examples

Ever found yourself wondering why your deep learning (deep neural network) model is simply refusing to learn? Or struggled to…

1 year ago

DCGAN Architecture Concepts, Real-world Examples

Have you ever wondered how AI can create lifelike images that are virtually indistinguishable from reality? Well, there is a…

1 year ago

Generative Adversarial Network (GAN): Concepts, Examples

In this post, you will learn concepts &  examples of generative adversarial network (GAN). The idea is to put together…

1 year 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

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

Sequence to Sequence Models: Types, Examples

Sequence to sequence (Seq2Seq) modeling is a powerful machine learning technique that has revolutionized the way we do natural language…

2 years ago

Perceptron Explained using Python Example

In this post, you will learn about the concepts of Perceptron with the help of Python example. It is very important for data scientists…

2 years ago

85+ Free Online Books, Courses – Machine Learning & Data Science

This post represents a comprehensive list of 85+ free books/ebooks and courses on machine learning,  deep learning, data science, optimization,…

2 years ago

Tensor Broadcasting Explained with Examples

In this post, you will learn about the concepts of Tensor Broadcasting with the help of Python Numpy examples. Recall that Tensor is…

3 years ago