On the importance of initialization and momentum in deep learning Ilya Sutskever1 ilyasu@ James Martens jmartens@ George Dahl gdahl@ Geo↵rey Hinton hinton@ Abstract widepread use until fairly recently. DNNs became the subject of renewed attention following the work Deep and recurrent neural ...
The Nelder-Mead (NM) method is known for showing a superior performance for hyperparameter optimization in deep learning. An initial simplex, one of the initial NM method's values, is usually determined randomly while the search performance strongly depends on the shape of the initial simplex. ...
下面以FC + ReLU这个组合为例推导下Kaiming Initialization。ReLU激活函数如下图所示: ReLU 1.1 Forward Z = f(X) Y=WZ+B 其中,X、Z、Y、X和B为r.v.,f为ReLU激活函数,且w\in\mathbb{R}^{u\times d},x, z\in\mathbb{R}^d,y, b\in\mathbb{R}^u。 在Xavier Initialization的基础上引入一条新...
(15)[ICML13] Momentum: On the importance of initialization and momentum in deep learning,程序员大本营,技术文章内容聚合第一站。
Courses in this sequence : Neural Networks and Deep Learning Improving Deep Neural Networks :Hyperparameter tuning,Regularization and Optimization Structuring your Machine Learning project智能推荐深度学习之权重初始化 四种权重初始化方法: 把w初始化为0 对w随机初始化 Xavier initialization He initialization 把...
Impact of Orthogonal Initialization in Deep Learning Dynamical Isometry as a Consequence of Weight Orthogonality Ester Hlav, 2019 How does orthogonal initialization of weight matrices help improve the training of neural networks? What happens if we further impose orthogonality during training? We research...
importnumpyasnpW=np.random.randn(node_in,node_out)/np.sqrt(node_in/2) 使用Batch Normalization Layer可以有效降低深度网络对weight初始化的依赖: importtensorflowastf# put this before nonlinear transformationlayer=tf.contrib.layers.batch_norm(layer,center=True,scale=True,is_training=True) ...
Kaiming (He) Weight Initialization - Deep Learning Dictionary Before training a network, we can initialize our weights from a number of different weight initialization techniques. As we've previously learned, the exact way in which the weights are initialized can impact the training process. Cert...
在使用 Caffe 进行深度学习模型训练或推理时,有时可能会遇到 "initialization of _caffe raised unreported exception" 的错误。本篇文章将详细解释这个错误的原因,并提供解决方案。 错误原因 "initialization of _caffe raised unreported exception" 错误通常是由以下几个原因引起的: ...
deep learning. We carefully avoid both of these pit- falls in our experiments and provide a simple to under- stand and easy to use framework for deep learning that is surprisingly e↵ective and can be naturally combined with techniques such as those in Raiko et al. (2011). We will als...