telecommuting proposal

requirements for training data are more lenient, that is, when the SS method extracts proposal only part of the target area, we also calibrate the proposal to a specific object category. The main reason for this is that CNN training requires a large number of data, and if the calibration requirements are extremely stringent (that is, only areas that contain exactly the target area and that are not part of

Target detection is a simple task for a person, but for a computer it sees an array of values of 0~255, making it difficult to directly get a high-level semantic concept for someone or a cat in the image, or the target to eat the area in the image. The target in the image may appear in any position, the shape of the target may have a variety of changes, the background of the image is very different ..., these factors lead to target detection is not an easy task to solve. Thanks to deep learning-

Millet think this post is not related to the plate, had to write more than a few words in the title, but this is really a problem, do not know that reverse telecommuting you have not touched this kind of thing? ------Solution-------------------- = = want to pick up reverse telecommuting. No way. ------Solution-------------------- That year to pick up the teacher a live. It's all wrapped up. Front desk Back

, disorderly, but not allowed to be changed2. If the node is less than half of the failure of the case can still work normally, node failure can occur at any time without affecting the normal execution of the algorithm.Here is the basic Paxos algorithm, note that this algorithm only has the ability to select one of several conflicting requests, and does not have the ability to serialize multiple requests in turn.The Paxos algorithm consists of three role Proposor,acceptor,learner.Implemented wit

, duplicated, disorderly, but not allowed to be changed2. If the node is less than half of the failure of the case can still work normally, node failure can occur at any time without affecting the normal execution of the algorithm.Here is the basic Paxos algorithm, note that this algorithm only has the ability to select one of several conflicting requests, and does not have the ability to serialize multiple requests in turn.The Paxos algorithm consists of three role Proposor,acceptor,learner.Imp

matter the above exception occurs, Will not compromise the consistency of the entire system.Similar to 2PC, Paxos first divides the node into two categories, initiating the proposal (proposal) on the side of proposer, the party involved in the resolution is acceptor.In the absence of failure and loss of information, if there is only one proposal being presented,

"consistency algorithm" is executed on each instruction to ensure that the instructions seen by each node are consistent.3, the principle of Paxos algorithmFor example, the company agreed on the location of the annual meeting and everyone could make recommendations. In a real world we can discuss in a conference room or discuss it in a group (based on memory sharing), but in a messaging-based distributed environment, everyone can only pass text messages to others. How to identify an annual meet

1. Distributed System Defining a distributed system is a system whose components are distributed across several networked computers, communicating and collaborating with each other by passing messages. Feature Concurrency: In the absence of synergy, the Components act on their own. No global clock: The current time synchronization accuracy is not enough. Faults are everywhere: there is always a variety of failures. problem solved by 2.Paxos algorithm is how distributed systems can reach a conse

Proposer. If there is no larger proposal, it will accept the proposal it submitted Accept: If the acceptor does not find a proposal with a higher number than the previous proposal, it approves the proposal. Chosen: when the majority of the acceptor has an accept

produce only one data. Further, we call the voting data the core and essence of the Value,paxos algorithm is to ensure that each vote produces only one value.3.Paxos algorithmWe complement the concept of the original: Promise: acceptor to proposer commitment, if there is no larger number of proposal will accept it submitted proposal Accept: acceptor did not find a larger number than the previo

determine that multivalued will be covered in the second part of multi Paxos, which we focus on "how Paxos determines and determines only one value".Similar to 2PC, Paxos first divides the node into two categories, initiating the proposal (proposal) on the side of proposer, the party involved in the resolution is acceptor. If there is only one proposer initiating the p