In this article, we'll explore the journey of implementing a face detection system, step by step. Let's dive in. Note-: GitHub repo link -> https://github.com/Rhythm1821/Tensorflow-Face-Detection Data Collection and Annotation: The first step is coll...
Hello, hope you are doing well. In this article, I will be documenting my journey of make an amazing deep CNN classification project. The aim of the project is to classify the image's emotion (happy or sad) inputted via the interface. I will be cover...
Recently you might've come across the terms ChatGPT, dall-e and stable diffusion and more specifically the term "Generative AI". Generative ai refers to the field of artificial intelligence that focuses on the development of algorithms and models cap...
Semi-supervised learning is a machine learning technique that uses both labelled and unlabeled data to train models. It is a hybrid of supervised and unsupervised learning, and it can be used to improve the performance of models when there is a limit...
Word embeddings are a powerful tool for natural language processing (NLP) tasks. They capture the semantic and syntactic relationships between words, and they are more compact and efficient than traditional bag-of-words representations. This blog pos...
Stochastic gradient descent (SGD) is a powerful optimization algorithm that is used in many machine-learning applications. Previously, we covered Gradient Descent . In this blog, we will discuss the basics of SGD, how it works, and its advantages and...