1 The Evolution of Generative Artificial Intelligence Since the launch of ChatGPT in November 2022, generative artificial intelligence (Gen AI) has made significant progress over the past few months and years. New tools, rules, or iterative technological advancements are being introduced every month. While many people feel apprehensive about ChatGPT (and the broader realm of … Read more
Click the above“Beginner Learning Vision“, choose to add “Starred” or “Pinned“ Important content delivered in real time Overview In deep learning, CNN networks are core components. For CNN networks, the calculations of convolutional layers and pooling layers are crucial. Different strides, padding methods, kernel sizes, and pooling strategies can significantly impact the final output model, … Read more
Click the "Learn Visuals" above, and select to add "Star" or "Pin to Top". Important resources delivered to you first. Author on Zhihu | masterSu Link | https://zhuanlan.zhihu.com/p/139617364 This article is about 3200 words, recommended reading time 5 minutes This article introduces the visualization of the LSTM model structure. Recently, I have been learning about … Read more
Reprinted from the public account 【AI Meets Machine Learning】 1. Introduction to Language Models What is a language model? Simply put, a language model is a model used to calculate the probability of a sentence, which is to judge the probability of whether a sentence is reasonable. Speaking of its applications, how to enable computers … Read more
1 Algorithm Introduction In the field of deep learning, the architecture design of neural networks is crucial for model performance. The traditional process of manually designing network architectures is time-consuming and labor-intensive, often relying on experience and intuition. To enhance efficiency and effectiveness, Neural Architecture Search (NAS) serves as an automated method that can algorithmically … Read more
In last week’s artificial neural network course, we introduced the connection between Support Vector Machines (SVM) and feedforward networks RBF in machine learning, and the representation of adaptive linear elements (ADLINE) composed of linear functions in a single-layer network is quite similar to adaptive filters in traditional signal processing. All of this shows that neural … Read more
Click on the above “Beginner Learning Vision”, choose to add Star Mark or Top. Important content delivered at the first time For academic sharing only, does not represent the position of this public account, contact for deletion if infringing Reprinted from: Author | Tang Fen@Zhihu Source | https://zhuanlan.zhihu.com/p/359627280 Editor | Jishi Platform We know that … Read more
Source: Yunqi Community This article contains 6500 words and is recommended to be read in 10 minutes. Starting from the historical development of neural networks, this article introduces the perceptron model, feedforward neural networks, and the BP algorithm. [Introduction] What comes to mind when you think of neural networks? Have you ever pondered the principles … Read more
Source: Algorithm Advancement This article is about 3000 words long and is recommended to be read in 8 minutes. This article will help everyone understand some concepts that may be confusing during the learning process. Nowadays, after becoming proficient in using specialized frameworks and high-level libraries like Keras、TensorFlow or PyTorch , we no longer have … Read more
With the continuous advancement of technology, the application of artificial intelligence (AI) is becoming increasingly widespread in various fields, and the field of space exploration has also welcomed its revolutionary application—generative artificial intelligence (GenAI). We have gathered some practical applications of generative AI/large models in the space sector from abroad to see what directions the … Read more