Structuring Machine Learning Projects | Deep Learning Specialization | Coursera

Brief information Course name: Structuring Machine Learning Projects Instructor: Andrew Ng Institution: Media: Coursera Specialization: Deep Learning Duration: 2 weeks About this Course You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team’s work, this […]

Samsung Notebook 9 Pen NT940X3M-K716S

모델 정보 출시연월: 2017년 9월 나의 제품 만든 연월: 2017년 12월 화면크기: 13.3 inch 가격비교 삼성 노트북9 Pen NT940X3M-K716S | 에누리 가격비교 리뷰 동영상 갤럭시 노트의 장점을 합친 최신 2in1 PC 삼성 노트북 9 펜(Pen) [LINK] Samsung NoteBook 9 Pen 15인치, 13.3인치 모델 배터리 구동 테스트 [LINK] 13.3인치: 10시간 50분 S펜을 품은 삼성의 플래그십 노트북, […]

HP Spectre x360

Official resources Software and driver results for: HP Spectre 13-ac000 x360 Convertible PC [LINK] 설치/설정 HP Notebook PCs – Updating the BIOS [LINK] 윈도우10 노트북 덮어도 안꺼지게 설정하는 방법, 절전모드 해제하기 [LINK] HP 스펙터 x360: 터치패드를 프리시전으로 만들기 [LINK] HP 스펙터 x360: 발열 문제 해결 방법 [LINK] Battery drain problem 노트북 배터리 자연 방전 | HP […]

Conditional Generative Adversarial Nets | M. Mirza, S. Osindero | 2014

Introduction Conditional version of Generative Adversarial Nets (GAN) where both generator and discriminator are conditioned on some data y (class label or data from some other modality). Architecture Feed y into both the generator and discriminator as additional input layers such that y and input are combined in a joint hidden representation.

Studying Generative Adversarial Networks (GANs)

References Lecture 13: Generative Models. CS231n: Convolutional Neural Networks for Visual Recognition. Spring 2017. [SLIDE][VIDEO] Generative Adversarial Nets. Goodfellow et al.. NIPS 2014. 2014. [LINK][arXiv] How to Train a GAN? Tips and tricks to make GANs work. Soumith Chintala. github. [LINK] The GAN Zoo. Avinash Hindupur. github. [LINK]

Lecture 2: Markov Decision Processes | Reinforcement Learning | David Silver | Course

1. Markov Process / Markov chain 1.1. Markov process A Markov process or Markov chain is a tuple such that is a finite set of states, and is a transition probability matrix. In a  Markov process, the initial state should be given. How do we choose the initial state is not a role of the Markov process. 1.2. State […]

Reinforcement Learning | David Silver | Course

Brief information Instructor: David Silver Course homepage: [LINK] Video lecture list: [LINK] Lecture schedule Lecture 1: Introduction to Reinforcement Learning Lecture 2: Markov Decision Processes Lecture 3: Planning by Dynamic Programming Lecture 4: Model-Free Prediction Lecture 5: Model-Free Control Lecture 6: Value Function Approximation Lecture 7: Policy Gradient Methods Lecture 8: Integrating Learning and Planning […]