The document discusses deep reinforcement learning and artificial general intelligence through examples of Atari games, AlphaGo series, and ChatGPT/GPT-4. It covers how deep reinforcement learning was applied to achieve human-level performance in Atari games using DQN and policy gradient methods. It also summarizes the development of AlphaGo, AlphaGo Zero, AlphaZero and MuZero using deep reinforcement learning techniques like self-play and Monte Carlo tree search. Finally, it discusses how ChatGPT and GPT-4 were trained using supervised learning, reinforcement learning from human feedback, and rule-based reward models to improve safety.
This document discusses deep learning and object detection. It provides an overview of techniques for image classification and object detection such as bounding boxes and intersection over union (IoU). Advanced detection models like SSD and YOLO are presented. Finally, popular object detection libraries for deep learning software are mentioned.
Data Science and Machine Learning in Smart manufacturingFrank Fang Kuo Yu
1. The document discusses applications of data science and machine learning in smart manufacturing, including wafer map failure pattern recognition and improving production line performance at Bosch.
2. It covers machine learning techniques like supervised learning, binary and multi-class classification, and deep learning solutions using convolutional neural networks. Case studies include recognizing patterns in wafer maps and predicting failures along Bosch assembly lines.
3. Barriers to applying data science projects discussed in the Kaggle survey include lack of clear questions, managing expectations, explaining data science, and integrating results into decisions. The document advocates using data competitions, crowdsourcing, and open innovation to overcome these barriers.
The document discusses the past, present, and future of data scientists and the automation of machine learning. It provides examples of automated machine learning tools like Cloud AutoML, auto-sklearn, TPOT, and H2O AutoML that can automate tasks involved in the machine learning workflow like model selection, hyperparameter tuning, and model training. A case study on RapidMiner Auto Model is presented which shows how it can automatically generate predictive or clustering models and compare results. While some tasks may be automated, it is noted that automation does not mean a lack of transparency or "black boxes".
This document provides an overview of deep learning and image recognition. It discusses topics like image classification, object detection, machine learning techniques including supervised and unsupervised learning. It also covers convolutional neural networks and commonly used deep learning software and datasets like MNIST, CIFAR, and ImageNet. The document aims to outline key concepts in machine learning, deep learning, and their applications to computer vision tasks.
This document discusses what entrepreneurs need to succeed, including vision, partners and team, and funding. It provides resources for finding partners online and offline, shared office spaces, accelerators, and crowdfunding options. The overall message is that entrepreneurs need a clear vision, strong team, and access to funding and workspaces, and lists local resources available in Shanghai to help entrepreneurs build their businesses.
The document summarizes the case method used at Harvard Business School for teaching. It discusses that the case method involves instructor-guided class discussions centered around real business cases and situations. Students are expected to think like the protagonists in the cases and analyze the problems from their perspective. The process involves individual preparation followed by small group and full class discussions. The goal is to develop students' business knowledge as well as skills and judgment through active engagement with realistic scenarios. Videos are also used to illustrate the case method approach.
The document provides tips on how to give presentations. It discusses listening to reports to learn, understanding your audience, controlling your time, and preparing content. Key points include observing how others organize and present, considering what the audience already knows, and maintaining consistent tenses in an English report. The formatting of text and paragraphs should also be aligned properly. Overall, presentation skills demonstrate personal organization and expression abilities.
1. The document introduces GPRS (General Packet Radio Service), which provides packet-mode transmission within cellular networks and interconnects with external packet networks like the Internet.
2. It describes the GPRS network architecture and components, including the SGSN and GGSN nodes. Mobility and session management functions are explained along with quality of service aspects.
3. Procedures for wireless Internet access via GPRS are outlined, involving GPRS and IP attachment as well as data transfer using SNDCP and PPP protocols. The coexistence of GPRS and GSM services is also addressed.
The document discusses Point-to-Point Protocol (PPP) and its roles in both wired and wireless internet access. PPP is used to establish and configure connections between two nodes and encapsulate network layer protocol packets for transmission over serial links. It consists of a Link Control Protocol (LCP) for link configuration and establishment and Network Control Protocols (NCPs) like IPCP for network layer configuration. The document examines how PPP is used for dial-up connections, WAP over CSD and GPRS, and using mobile phones as modems through PPP dial-in. Protocol analysis of an MMS transmission over HTTP, TCP, IP and PPP over CSD is also presented.