Category:AI
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springboot integration vosk to achieve simple voice recognition function
vosk open source speech recognition Vosk is the open source speech recognition toolkit.Things that Vosk supports include: Nineteen languages are supported – Chinese, English, Indian English, German, French, Spanish, Portuguese, Russian, Turkish, Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Persian, Filipino, Ukrainian, Kazakh. Work offline on mobile devices – Raspberry Pi, Android, iOS. Install it with […]
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Neural Networks and Model Training Process in Detail
PyTorch Deep Learning in Action (1) – Neural Network and Model Training Process in Detail 0. Preface1. Traditional machine learning and artificial intelligence2. Basics of artificial neural networks2.1 Artificial Neural Network Composition2.2 Training of Neural Networks 3. Forward dissemination3.1 Calculating hidden layer values3.2 Perform nonlinear activation3.3 Calculating the output layer values3.4 Calculation of the value […]
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[NLP] Tutorial on fine-tuning using Alpaca-Lora based on the llama model
Stanford Alpaca is fine-tuning on the whole model of LLaMA, i.e., all parameters in the pre-trained model are fine-tuned (full fine-tuning). However, this method still requires high hardware cost and is inefficient for training. [NLP] Understanding Efficient Fine-Tuning of Large Language Models (PEFT) Therefore, Alpaca-Lora utilizes the Lora technique by adding additional network layers to […]
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[Python natural language processing + tkinter graphical interface] to achieve intelligent medical customer service Q&A robot combat (with source code, dataset, demo ultra-detailed)
If you need source code and datasets, please like and follow the collection and leave a private message in the comment section~~~. I. Introduction to Q&A Intelligent Customer Service QA Question and Answer is an abbreviation of Question-and-Answer, which retrieves answers based on the questions posed by the user and answers the user in natural […]
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Speech coding techniques, AMR, AMR-NB, AMR-WB, EVS summary
I’ve recently become a bit interested in real-time speech coding technology, so I learned a bit about it. At first I heard about AMR-NB narrowband coding, and searched only to find more coding techniques, which are summarized here for future viewing. I. What is AMR, AMR-WB Full name Adaptive Multi-Rate and Adaptive Multi-Rate Wideband, mainly […]
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Transformer Code Explained (Pytorch Edition)
preamble Based on the previous postClassical Network Architecture Learning-TransformerThe study, today we use pytorch to build their own transformer model, to deepen the understanding of transformer, not only in the field of NLP can not get around the transformer, but also in the field of CV is also very hot, a lot of models are […]
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Python’s method for importing torch packages
Article Catalog preambleI. What is Pythorch?Second, how to download and import the torch package?Third, pip package manager download failure torch, the solution and the official website to download teaching1. Download failure, solution2.Official website download Fourth, why there will be the official website to download and local direct download, torch two ways?summarize preamble With the continuous […]
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OpenAI’s Artificial Intelligence Speech Recognition Model Whisper Explained and Used
1 whisper Introduction OpenAI, the company that owns the ChatGPT language model, has open-sourced the Whisper automated speech recognition system, and OpenAI emphasizes that Whisper’s speech recognition ability has reached the human level. Whisper is a general-purpose speech recognition model trained using a large amount of multilingual and multi-task supervised data, capable of achieving near-human […]
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ROS+Gazebo Reinforcement Learning from Virtual Training to Live Vehicle Deployment Full Process Analysis
Also learn ros this thing for a long time, but in the ROS reinforcement learning and ultimately deployed to the real car this process has been all kinds of problems, the laboratory is not much relevant accumulation, their own one person to engage in a very painful. This time when I read the paper, I […]
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Quantum computing frameworks and libraries TensorFlow Quantum, PyTorch Quantum can be used for deep learning
catalogs 1. Install TensorFlow Quantum:2. Install PyTorch Quantum:3. Case study: quantum linear regression How to install TensorFlow Quantum and PyTorch Quantum with some simple code examples. Please note that since quantum computing is still in the early stages of development, these tools and libraries may change over time 1. Install TensorFlow Quantum: First, you need […]