田坂広志が語る「すべては導かれている ー 逆境を越え、人生を拓く五つの覚悟 ー 」｜あすか会議
あすか会議2018 第8部全体会「すべては導かれている － 逆境を越え、人生を拓く五つの覚悟 － 」 （2018年7月8日開催／国立京都国際会館） 我々の人生は、「幸運に見える出来事」だけでなく「不運に見える出来事」も含め、大いなる何かに導かれている。人類の永い歴史を振返るならば、多くの優れた先人は、その存在を「信じる」ことにより、自らの中に眠る力と叡智を引き出し、人間としての可能性を開花させ、逆境を乗り越えてきた。これらの先人と同様に、我々が「すべては導かれている」という覚悟を定めるならば、その瞬間から人生の風景が変わると、田坂氏は言う。我々は、人生とどう向き合い、覚悟をどのように定めれば良いのか。現代の知の巨人が語る。（肩書きは2018年7月8日登壇当時のもの） 田坂 広志 多摩大学大学院 教授／田坂塾・塾長／世界賢人会議 Club of Budapest 日本代表 あすか会議に
6.5840 Home Page: Spring 2024
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CS224W | Home
Content What is this course about? Complex data can be represented as a graph of relationships between objects. Such networks are a fundamental tool for modeling social, technological, and biological systems. This course focuses on the computational, algorithmic, and modeling challenges specific to the analysis of massive graphs. By means of studying the underlying graph structure and its features
CSC321 Winter 2018
CSC 321 Winter 2018 Intro to Neural Networks and Machine Learning Source: CycleGAN. You will implement this model for Assignment 4. Overview Machine learning is a powerful set of techniques that allow computers to learn from data rather than having a human expert program a behavior by hand. Neural networks are a class of machine learning algorithm originally inspired by the brain, but which have r
Stanford University: Tensorflow for Deep Learning Research
No class on Friday, Feb 2. See syllabus. For the last year's website, visit here TensorFlow is a powerful open-source software library for machine learning developed by researchers at Google. It has many pre-built functions to ease the task of building different neural networks. TensorFlow allows distribution of computation across different computers, as well as multiple CPUs and GPUs within a sin
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CS 329S | Home
GitHub - cs230-stanford/cs230-code-examples: Code examples in pyTorch and Tensorflow for CS230
Visual Recognition with Text - Winter 2017
Index of /~vinayc/kg/notes
CS520: Knowledge Graph Seminar Session 4 (Spring 2020)
Principles of scalable data management (CS7240), Spring 2020
CS 520: Knowledge Graph Seminar Session 2 (Spring 2020)
Lecture 10: Experimental Design | Computational Social Science
CSE 291A: Advanced Data Analytics and ML Systems
Schedule
人工知能と社会
How do I learn Design of Experiments (DOE)?
Deep Learning
GitHub - chiphuyen/stanford-tensorflow-tutorials: This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Top-down learning path: Machine Learning for Software Engineers | Kaggle
