Introduction Welcome to this tutorial on using the ChatGPT API from OpenAI with Python! ChatGPT is a state-of-the-art language model that can generate human-like responses to text-based inputs. With its ability to understand context and generate coherent responses, ChatGPT has become a popular tool for chatbots and conversational agents in a variety of industries. In […]
Deep Learning, Natural Language Processing, Tutorials
Introduction LSTM (Long Short-Term Memory) is a type of Recurrent Neural Network (RNN) that is widely used in deep learning. It is particularly useful in processing and making predictions based on sequential data, such as time series, speech recognition, and natural language processing. TensorFlow is an open-source platform for machine learning developed by Google Brain […]
Introduction Deep learning has become a popular field in machine learning, and there are several frameworks available for building and training deep neural networks. Two of the most popular deep learning frameworks are JAX and PyTorch. JAX is a relatively new framework developed by Google, while PyTorch is a well-established framework developed by Facebook. Both […]
Introduction Python is a popular programming language that is widely used in data science, machine learning, and other related fields. JupyterLab and Jupyter Notebook are two popular tools used for Python programming. While both tools provide a similar environment for coding in Python, they have some differences that set them apart. Jupyter Notebook is a […]
Deep Learning, Machine Learning, Tutorials
Introduction In this blog post, we will be discussing multi-label image classification using PyTorch. Multi-label image classification is the task of assigning multiple labels to an image. This is different from multi-class classification, where only one label is assigned to an image. Multi-label classification is commonly used in applications such as object detection, scene recognition, […]
Deep Learning, Machine Learning, Tutorials
Introduction When working with machine learning models, it is essential to ensure that the results are reproducible. This means that if you run the same code multiple times, you get the same results every time. In PyTorch, setting the seed is a crucial step towards achieving reproducibility. The random number generator (RNG) in PyTorch is […]
Deep Learning, Machine Learning, Tutorials
Introduction TensorFlow is an open-source machine learning framework developed by Google. It allows developers to build and train machine learning models easily. TensorFlow has become one of the most popular libraries for deep learning tasks due to its flexibility, scalability, and ease of use. Before diving into building machine learning models with TensorFlow, it is […]
If you are reading this, then you are probably well aware of OpenAI’s large language models, such as GPT-3 and its dialogue interface, ChatGPT. You may have also heard of concerns from teachers and employers over heavy use of Large Language Models (LLMs) to generate content for assignments, such as generating an essay that was […]
Tensors play a very important role in deep learning and machine learning. They are at the heart of algorithms such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) that are widely used in many applications such as image recognition, natural language processing, and time series analysis. In this article, we will first briefly […]
Deep Learning, Natural Language Processing, Tensorflow, Tutorials
Welcome to this blog post on Natural Language Processing, specifically generating new text! In this blog post we’ll explore how to gather a bunch of Weezer lyrics and train a Recurrent Neural Network (RNN) to generate new lyrics character by character. Let’s dive in! Table of Contents: Gathering the Data Text Processing Creating […]
