Mike CvetFollowBetter Programming--ListenShareIn an earlier post, I walked through the Word2Vec algorithm and a reasonably bare-bones neural network. In this post, I’m going to walk th… Read More

Vyacheslav EfimovFollowTowards Data Science--ListenShareIn recent years, the evolution of large language models has skyrocketed. BERT became one of the most popular and efficient models allo… Read More

While the term artificial intelligence (AI) enjoys universal recognition, most people would need help to define what a deep convolutional neural network (DCNN) is. It’s time to change… Read More

smita prasadFollowCode Like A Girl--ListenShareThis article introduces TensorFlow and Keras, explaining their features, recent updates, and their role in constructing neural networks for mac… Read More

Chris HughesFollowTowards Data Science--ListenShareSince their introduction in 2017, transformers have emerged as a prominent force in the field of Machine Learning, revolutionizing the capa… Read More

Chen MargalitFollowTowards Data Science--ListenShareThis 4th part of the series will be heavily based on the 2nd, 3rd, and 4th, so if you haven't read through them and are not sure how the l… Read More

Convolutional Neural Networks (CNNs) have emerged as a game-changer in the fast-paced world of artificial intelligence and machine learning. These innovative neural networks have revolutioni… Read More

Flowers have captivated human beings for centuries with their beauty and diversity. From the vibrant colors of tulips to the delicate petals of roses, the world of flowers is a rich tapestry… Read More

Gradient-weighted Class Activation Mapping (Grad-CAM) is a technique in deep learning and computer vision that helps to visualize the areas of an image that a convolutional neural network (C… Read More

Image classification is a common and important task in the field of computer vision. Transfer learning is a technique that allows us to leverage pre-trained models on large datasets to solve… Read More

Before diving into the various types of loss functions utilized in deep learning, it’s essential to understand the fundamental question of why we even need loss functions in the first… Read More

Conor O'SullivanFollowTowards Data Science--ListenShareSHAP values give the contribution of a model feature to a prediction. For binary target variables, we interpret these values in terms o… Read More

 Neural NetworksNeural networks are a class of machine learning models inspired by the structure and function of the human brain. They are composed of interconnected nodes, also known a… Read More

Large Language Models (LLMs) have revolutionized the field of artificial intelligence, with ChatGPT leading the way. However, concerns around privacy and security have arisen due to the powe… Read More

import torchimport torch.nn as nnimport randomclass FirefightingDrone: def __init__(self, location=[0, 0], battery=100, water_tank=100, chemo_sensor=False): self.location, self.bat… Read More

Word2Vec ist ein Algorithmus des maschinellen Lernens, der zur Erstellung von Worteinbettungen verwendet wird. Dabei handelt es sich um numerische Darstellungen, die die semantische Bedeutun… Read More

近日，上海人工智能实验室和 OpenNLPLab 的一个研究团队提出&#… Read More

import torchimport torch.nn as nnimport torch.nn.functional as Fimport serialimport timeclass Beakball(nn.Module): def __init__(self, vocab_size=None, embedding_dim=128, hidden_dim=128, n… Read More