DeeplabV3是一个图像分割模型,主要用来实现抠图需求,Vision框架中也有对应的能力,可参加如下文章: FCRN-DepthPrediction模型用来进行图片景深的预测,这是Vision框架所不具备的能力。 在此地址可以下载到这三个模型: https://developer.apple.com/machine-learning/models/ 1 - PoseNet模型 PoseNet模型可以检测17个人体的...
Advanced Deep Learning and Reinforcement Learning 高级深度学习和强化学习 Advanced Topics in Machine Learning 机器学习高级主题 Affective Computing and Human-Robot Interaction 情感计算与人机交互 Applied Machine Learning 应用机器学习 Approximate Inference and Learning in Probabilistic Models 概率模型中的近似推理和...
Core ML Models Build intelligence into your apps using machine learning models from the research community designed for Core ML. Models are in Core ML format and can be integrated into Xcode projects. You can select different versions of models to optimize for sizes and architectures....
Machine Learning Create intelligent features and enable new experiences for your apps by leveraging powerful on-device machine learning. Learn how to build, train, and deploy machine learning and AI models into your iPhone, iPad, Vision Pro, Mac, and Apple Watch apps. ...
such as you might perform with image editing software. However, the goal of computer vision is often to extract meaning, or at least actionable insights, from images; which requires the creation of machine learning models that are trained to recognize features based on large volumes of existin...
模型解释的数据(这是一本电子书, 内容很全, 讲得由浅入深, 讲得很具体):Interpretable Machine Learning 为什么需要模型的解释:Interpreting machine learning models 技术总结型文章(里面解释了常见得模型解释得方法) :Hands-on Machine Learning Model Interpretation ...
介绍:Francis Bach合作的有关稀疏建模的新综述(书):Sparse Modeling for Image and Vision Processing,内容涉及Sparsity, Dictionary Learning, PCA, Matrix Factorization等理论,以及在图像和视觉上的应用,而且第一部分关于Why does the l1-norm induce sparsity的解释也很不错。 《Reproducing Kernel Hilbert Space》 ...
Forgetting [1] refers to the phenomenon where previously acquired information or knowledge in a machine learning system degrades over time. In the early days of neural networks, the focus was primarily on training models on static datasets. Forgetting was not a significant concern in these settings...
《Deep Networks for Computer Vision at Google – ILSVRC2014》 介绍:Google面向机器视觉的深度学习. 《How to choose a machine learning API to build predictive apps》 介绍:构建预测类应用时如何选择机器学习API. 《Exploring the shapes of stories using Python and sentiment APIs》 ...
Machine Learning – Modern Computer Vision & Generative AI: Use KerasCV, Python, Tensorflow, JAX for Image Recognition, Object Detection, and Stable Diffusion Lazy Programmer $109.99 Video Feb 2024 6hrs 4mins 1st Edition Video $109.99 Subscription Free Trial Renews at $19.99p/m View ta...