范叶亮

leovan.me
2020
而立之前 (Life before 30)最近邻搜索 (Nearest Neighbor Search)无模型策略预测和控制 - 时序差分学习 (Model-Free Policy Prediction and Control - Temporal Difference Learning)无模型策略预测和控制 - 蒙特卡洛方法 (Model-Free Policy Prediction and Control - Monte-Carlo Learning)利用动态规划求解马尔可夫决策过程 (Planning by Dynamic Programming)贝叶斯优化 (Bayesian Optimization)马尔可夫决策过程 (Markov Decision Process)多臂赌博机 (Multi-armed Bandit)强化学习简介 (Introduction of Reinforcement Learning)在群晖 NAS 上编译安装 tmux图嵌入 (Graph Embedding) 和图神经网络 (Graph Neural Network)预训练自然语言模型 (Pre-trained Models for NLP)
2019
ToB 产品用户权限 (User Privileges of ToB Products)京东数科 HIPO 学习之旅 (JDD HIPO Learning Journey)杭州和东京之旅 (Tour of Hangzhou and Tokyo)国际智慧温室种植挑战赛 (International Autonomous Greenhouse Challenge)「非」中年危机 (Non-midlife Criss)记忆中的儿时 (My Childhood in Memory)启发式算法 (Heuristic Algorithms)关不掉的浏览器标签页 (Browser Tabs You do not Close)贝塞尔曲线 (Bézier Curve)如何阅读一本书 (How to Read a Book)相似性和距离度量 (Similarity & Distance Measurement)
2018
集成学习算法 (Ensemble Learning)计算复杂性 (Computational Complexity) 与动态规划 (Dynamic Programming)利用 Flask 和 Google App Engine 部署模型服务序列到序列 (Seq2Seq) 和注意力机制 (Attention Machanism)词向量 (Word Embeddings)循环神经网络 (Recurrent Neural Network, RNN)泰国之行 (Tour of Thailand)媒介之战 (War of Medias)卷积神经网络 (Convolutional Neural Network, CNN)买书,囤书,看书 (Buy Books, Hoard Books and Read Books)Play Safe, Smart Choice & Yuppie基于 PyQt5/PySide2 和 QML 的跨平台 GUI 程序开发流形学习 (Manifold Learning)深度学习优化算法 (Optimization Methods for Deeplearning)生成对抗网络简介 (GAN Introduction)Ising 模型,Hopfield 网络和受限的玻尔兹曼机 (Ising, Hopfield and RBM)
2017
马尔科夫链蒙特卡洛方法和吉布斯采样 (MCMC and Gibbs Sampling)特征值分解,奇异值分解和主成份分析 (EVD, SVD and PCA)墨尔本之行 (Trip to Melbourne)