Tag:deep learning
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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 […]
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The 100 Best Deep Learning Projects for Getting Started
attention (heed): Recently by the fans feedback, found that some subscribers will be the content of this column for secondary sale, hereby declare that the content of this column is for learning only, shall not be sold in any way, without the author’s permission shall not be the content of this column to exercise the […]
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Real-time target detection with YOLOv8
Article Catalog preamble I. Introduction to YOLOv8 II. Environment Setup 2.1 Environment in which the project will be deployed 2.2 LabVIEW Toolkit Download and Installation III. yolov8 export onnx 3.1 Install YOLOv8 3.2 Downloading the model weights file 3.3 Exporting the model as onnx IV. Project practice 4.1 YOLOv8 Implementation of Picture Reasoning in LabVIREW […]
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Speech recognition in action (python code)
Speech recognition in action (python : pyttsx, SAPI, SpeechLib example code) (I) Table of Contents for this article: I. Basic Principles of Speech Recognition (1) The origin and development of speech recognition (2) Basic principles of speech recognition (3) Speech recognition process (4) Recent developments in speech recognition II. Python Speech Recognition (1), text-to-speech conversion […]
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Librosa Library – Speech Recognition, Speech Tone Recognition Training and Applications
Many students think that speech recognition is very difficult, but it is not, at first I also think so, but later found that speech recognition is the easiest, because students may not know that Python has an audio processing library Librosa, this library is very powerful, can be audio processing,spectrogramRepresentation, amplitude conversion, time-frequency conversion, feature […]
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YOLOv8 trains its own dataset
I. Preparing the Deep Learning Environment My laptop system is: Windows 10 The latest version of the YOLO series, YOLOv8, has been released, for details you can refer to theThe blog I wrote earlier, currently ultralytics has released thePartial code and descriptionTheDownload YOLOv8 code on github, the code folder will contain the requirements.txt file, which […]
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NLP machine translation panorama: from the basic principles to the full analysis of technical practice
catalogs I. Introduction to Machine Translation1. What is Machine Translation (MT)?2. Source and target languages3. Translation models4. Importance of context II. Rule-Based Machine Translation (RBMT)1. Rule-making2. Dictionaries and vocabulary selection3. Constraints and challenges4. PyTorch implementation III. Statistical Machine Translation (SMT)1. Data-driven2. Phrase alignment3. Scoring and selection4. PyTorch implementation IV. Neural network-based machine translation1. Encoder-Decoder structure2. […]
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[Hyperspectral images: reconstruction by spatial-spectral]
Progressive Spatial–Spectral Joint Network for Hyperspectral Image Reconstruction (Hyperspectral image reconstruction with progressive joint spatial-spectral networks) (☆☆☆☆☆☆☆ learning to build HS from MS ☆☆☆☆☆☆☆) Hyperspectral (HS) images are widely used to identify and characterize targets in scenes of interest with high acquisition cost and low spatial resolution. Acquiring high spatial resolution HS images (HSI) by […]
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Tensorflow-gpu nanny-level installation tutorial (Win11, Anaconda3, Python3.9)
Tensorflow-gpu Nanny Installation Tutorial (Win11, Anaconda3, Python3.9) preamblePreparation for Tensorflow-gpu version installation(a) Check the computer’s video card:(ii), Anaconda installation(iii) cuda download and installation(D), cudnn download and installation(v) Configuration of environment variables(F), create tensorflow environment(VII), test whether Tensorflow-gpu is installed successfully or notuninstall and reinstall preamble CPUversions andGPUThe differences between the versions are mainlyrunning speed,GPUVersion Running […]