How to initialize weight and bias in PyTorch? | 台灣精品獎-歷屆得獎名單
![How to initialize weight and bias in PyTorch?](https://i.imgur.com/DERULla.jpg)
2021年1月31日—Theaimofweightinitializationistopreventthemodelfromexplodingorvanishingduringtheforwardpassthroughadeepneuralnetwork.If ...
![How to initialize weight and bias in PyTorch?](https://i.imgur.com/DERULla.jpg)
In deep neural nets, one forward pass simply performs consecutive matrix multiplications at each layer, between that layer’s inputs and weight matrix. The product of this multiplication at one layer becomes the inputs of the subsequent layer, and so on.
The first step that comes into consideration while building a neural network is the initialization of parameters[1], if done correctly then optimization will be achieved in the least time otherwise converging to a minimum using gradient descent will be impossible.
The aim of weight initialization is to prevent the model from exploding or vanishing during the forward pass through a deep neural network. If this occurs, loss gradients will either be too large or too small to flow backward and the network will take longer to converge.
We assume that the reader is already familiar with the concept of neural networks, weight, bias...
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![](https://i.imgur.com/DERULla.jpg)
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由「剛鈺股份有限公司」生產的無人機自動飛行控制系統獲得106年度台灣精品獎,以下為此獎項詳細資料整理:得獎產品:無人機...