PyTorch-Project-CN
Public深度学习与PyTorch入门实战教程 基本的数学理论,线性回归,逻辑回归,梯度及梯度下降,损失函数,多分类问题,BatchNorm,卷积神经网络CNN/ResNet,循环神经网络RNN/LSTM,对抗生成网络GAN/WGAN等等,以及对应的PyTorch的实现方式讲解。通过理论与实践相结合的教学方式,学员可以最大程度理解并掌握算法。
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深度学习与PyTorch入门实战教程 基本的数学理论,线性回归,逻辑回归,梯度及梯度下降,损失函数,多分类问题,BatchNorm,卷积神经网络CNN/ResNet,循环神经网络RNN/LSTM,对抗生成网络GAN/WGAN等等,以及对应的PyTorch的实现方式讲解。通过理论与实践相结合的教学方式,学员可以最大程度理解并掌握算法。