Brief 1) Basic Network Model 2) Model Core Settings (Component Selection) I. A single neuron 1) Structure 2) Significance II. Basic Network Model 1. Multilayer Perceptron (MLP) 2. Convolutional Neural Network (CNN) 3. Recurrent Neural Network (RNN) 4. Transformer III. Extended Network Model 1. Cross-modal and fusion models 2. Graph Neural Networks (GNNs) 3. Reinforce … Read more
Are you still frustrated by sudden crashes in your Grado app with no apparent cause? Are you unable to reproduce bug reports from users? This article will guide you through the core mechanisms of the Grado logging system, providing three practical tips and two real-world case studies to help you easily pinpoint problems, optimize performance, … Read more
1. Train a classifier using the CIFAR10 dataset. 1.1 Importing Packages The output of the torchvision dataset is PILImage images in the range [0, 1]. These are then converted to Tensors with a normalized range of [-1, 1]. 1.2 Loading Data Load and preprocess the CIFAR-10 dataset, create data loaders for training and testing, and … Read more
Basic Concepts What is AI? AI , or Artificial Intelligence, is , as the name suggests, the science and technology that enables machines to simulate human intelligence. Let’s use an example to illustrate this: A typical computer program is like a vending machine. You press a specific button (input), and it gives you a specific drink (output). All its behaviors are … Read more
Introduction: When AI Becomes Your Code Partner Imagine you’re engrossed in writing Python code, and suddenly an AI tool pops up saying, “Hey, I’ve optimized this loop for you!” Surprised or shocked? With AI tools becoming increasingly prevalent, how can Python developers leverage them to complete projects while protecting our creative sparks? This article will … Read more
Overview With the rapid development of artificial intelligence technology, AI is profoundly changing the way databases are managed and operated. From automated query generation and performance tuning to data quality monitoring and intelligent report analysis, AI has become an indispensable “intelligent assistant” in modern database systems. This article systematically outlines eight core application scenarios of AI … Read more
1. Overview of Multimodal Technology 1.1 What is Multimodal Learning? Multimodal learning refers to the field of machine learning that simultaneously processes and understands two or more different modalities of data. Here, “modality” can refer to text, images, audio, video, sensor data, etc. The core goal of multimodal learning is to improve the model’s ability … Read more
Detailed Explanation of Callback Functions in Machine Learning In Python programming, especially in the fields of deep learning and reinforcement learning, `BaseCallback` is typically a base class used to define the interface for callback functions. A callback function is a function that is called during training to perform specific tasks, such as logging, saving the … Read more