We will go through a general introduction to generative models and then proceed to generative models in deep learning. First, we will discuss explicit density models that model distribution factors with deep neural networks and their important special case, normalizing flows, and explicit density ...
比如自回归模型Autoregressive Model (AR)，生成对抗网络Generative Adversarial Network (GAN)，标准化流模...
这个问题是2013年提问的，时间来到2019年，deep learning不仅能够来做推荐系统，而且已经成为推荐系统的主流...
Unsurpervised Learning 1、深度生成模型“无中生有” 2、VAE(Variational auto-encoder) 一、什么是VAE、为什么用VAE 二、如何实现VAE 三、关于VAE思考 3、GAN(Generative Adversarial Network) Deep Generative model “无中生有” 1、深度生成模型“无中生有” 比如machine在影像处理上可以做到分类,可以辨识猫和...
深度学习(deep learning,DL),又称为深度神经网络,是AI领域中一个热门研究方向,其通过对样本数据进行多层次的非线性信息处理和抽象,挖掘内在规律,用于解决特征学习、分类和模式识别等问题。当前主流的DL模型包括卷积神经网络(convolutional ne...
"Deep Generative Modeling": Introductory Examples deep-learning pytorch generative-adversarial-network variational-autoencoder energy-based-model flow-based-modeling deep-generative-modelling autoregressive-modeling score-based-generative-modeling neural-compression generative-ai Updated Sep 22, 2024 Jupyter No...
With rise in deep learning, newer algorithms like generative and discriminative models have become the talk of the market.While generative and discriminative models are being integrated with various application domains, the latent mathematical value of these machine learning techniques can drastically ...
Inspired by the generative nature of hippocampus as a short-term memory system in primate brain, we propose the Deep Generative Replay, a novel framework with a cooperative dual model architecture consisting of a deep generative model ("generator") and a task solving model ("solver"). With ...
Chapter 1. Generative Modeling This chapter is a general introduction to the field of generative modeling. We shall first look at what it means to say that a model is … - Selection from Generative Deep Learning [Book]
If deep neural networks are involved in this model, the model is a deep generative model (DGM). As a branch of self-supervised learning techniques in deep learning, DGMs specifically focus on characterizing data generation processes. This post describes three projects ...