New Intelligence Report Source: deeplearning.ai Editor: Daming 【New Intelligence Guide】The initialization of neural networks is a crucial step in the training process, significantly affecting the model’s performance, convergence, and convergence speed. This article is a technical blog from deeplearning.ai, which points out that improper selection of initialization values can lead to problems such as gradient … Read more
Deep Learning is a major branch of Machine Learning, which attempts to use algorithms with multiple processing layers containing complex structures or multiple nonlinear transformations to perform high-level abstractions of data. Logistic Regression (Logistic Regression, also translated as “Log-Odds Regression”) is one of the discrete choice models, belonging to the category of multivariate analysis. It … Read more
Selected from Medium Author: Ryan Shrott Editor: Machine Heart The author of this article, Ryan Shrott, Chief Analyst at the National Bank of Canada, has completed all deep learning courses released by Andrew Ng on Coursera to date (as of October 25, 2017) and provides us with insights into the courses. Among the courses available … Read more
Source: Machine Heart This article contains 3744 words, and is recommended for a reading time of 8 minutes. Through this article, we will explain how to build models for natural language, audio, and other sequential data. Since Andrew Ng released the deeplearning.ai courses, many learners have completed all the specialized courses and meticulously created course … Read more
Notes from Andrew Ng’s DeepLearning.ai Course 【Andrew Ng’s DeepLearning.ai Notes 1】Intuitive Explanation of Logistic Regression 【Andrew Ng’s DeepLearning.ai Notes 2】Simple Explanation of Neural Networks (Part 1) 【Andrew Ng’s DeepLearning.ai Notes 2】Simple Explanation of Neural Networks (Part 2) Having trouble with deep networks? Andrew Ng helps you optimize neural networks (1) 【DeepLearning.ai】Deep Learning: Optimizing Neural Networks … Read more
Click the “Expert Knowledge” above to follow for more AI insights! Source: Zhihu – Qs.Zhang https://zhuanlan.zhihu.com/p/30074544 【Introduction】Hello everyone, my name is Zhang Quanshi, a postdoctoral researcher at UCLA. Currently, I lead a team in Professor Zhu Songchun’s lab, focusing on explainable AI. The title of this article is quite grand; in this short essay, I … Read more
Recently, Hugging Face has a very popular book titled “nlp-with-transformers”, and we will be updating practical tutorials related to transformers, so let’s get hands-on learning! Original text: https://www.oreilly.com/library/view/natural-language-processing/9781098103231/ch01.html Warning ahead, there will be a strong flavor of translation, so please enjoy while it’s fresh. Hello Transformers In 2017, researchers at Google published a paper proposing … Read more
↑ ClickBlue Text Follow the Jishi Platform Source丨Quantum Bit Jishi Guide Choosing the right architecture is crucial for developing visual large models.>> Join the Jishi CV technology exchange group to stay at the forefront of computer vision With OpenAI’s GPT-4o leading the way and Google’s series of powerful models following, advanced multimodal large models are … Read more
Kleisi from Aofeisi Quantum Bit | WeChat Official Account QbitAI With OpenAI’s GPT-4o and Google’s series of powerful models, advanced multimodal large models have been making waves. Other practitioners, while shocked, have once again begun to ponder how to catch up with these super models. At this time, a paper by HuggingFace and Sorbonne University … Read more
New Intelligence Report Author: Gaode Intelligent Technology Center [New Intelligence Guide]The research and development team of Gaode Intelligent Technology Center designed a contrastive learning framework for knowledge distillation in their work, and proposed COS-NCE LOSS based on this framework. This paper has been accepted by AAAI 2021. NLP (Natural Language Processing) plays an important role … Read more