Basic knowledge of machine learning (1)
Published:
此chap有关基础的ml知识和概念,包括naive knn,linear layer(loss function,regularization, optimization and backpropagation),同时也介绍了部分激活函数。 基于CS231n(Stanford computer vision)课程,整理笔记。 ======
Published:
此chap有关基础的ml知识和概念,包括naive knn,linear layer(loss function,regularization, optimization and backpropagation),同时也介绍了部分激活函数。 基于CS231n(Stanford computer vision)课程,整理笔记。 ======
Published:
此chap有关基础的ml知识和概念,包括naive knn,linear layer(loss function,regularization, optimization and backpropagation),同时也介绍了部分激活函数。 基于CS231n(Stanford computer vision)课程,整理笔记。 ======
Published:
有关神经网络以及训练过程的基础知识。Basic concepts of neural network , and focus more on how the training process. ======
although we get inspiration from neural network in biology , besides this , we can still have some insights. \(neural \;network:\;s=W_2 max(0,W_1x)\) \(linear \;classification:\;s=Wx\)
the neuron get some input ,then through a activation function , output
Published:
有关神经网络以及训练过程的基础知识。Basic concepts of neural network , and focus more on how the training process. ======
although we get inspiration from neural network in biology , besides this , we can still have some insights. \(neural \;network:\;s=W_2 max(0,W_1x)\) \(linear \;classification:\;s=Wx\)
the neuron get some input ,then through a activation function , output