CS231N-Lecture6 Training Neural Network part-2
一、概述 这一集讲了一些列不同的梯度下降算法，做了一些比较。 之后，讲到了Dropout机制，随机关闭一些neuron的训练方式可以使整个模型更加有效。 然后讲到了一点关于Model Ensemble的技巧。 最后，做了一个Convnet的引入，介绍了Convnet的历史起源，以及后人的一些成就。 二、梯度下降算法 SGD SGD(Stochastic Gradient Descent)就是之前一
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相关文章
- 1. Training Recurrent Neural Network
- 2. Lecture 6 Training Neural Network (2)
- 3. Lecture 6 Training Neural Network (1)
- 4. Tips for Training Deep Neural Network
- 5. 1804.03235-Large scale distributed neural network training through online distillation.md
- 6. Principles of training multi-layer neural network using backpropagation
- 7. 【ML&DL】【skimming】Global Optimality in Neural Network Training
- 8. (zhuan) Recurrent Neural Network
- 9. Training Neural Networks, part I
- 10. Neural Network Introduction