文件名称：deep-learning-note:深度学习笔记
文件大小：17.3MB
文件格式：ZIP
更新时间：2024-05-17 07:30:44
JupyterNotebook
deep learning note Parameter Initialization: 结合了，感谢作者魏秀参（Xiu-Shen WEI） word2vec: 参考论文Xin Rong的word2vec Parameter Learning Explained，以及李沐老师的深度学习课程 sigmoid_network，使用转换函数为sigmoid，参考代码地址 CNN For NLP Understanding Convolutional Neural Networks for NLP（译文） Implementing a CNN for Text Classification in TensorFlow（译文） Convolutional Neural Networks for Sentence Classification 文本分类的卷积神经网络结构： 1、输入层为预训练的词向量层
【文件预览】：
deep-learning-note-master
----CNN For NLP()
--------Understanding Convolutional Neural Networks for NLP.ipynb(1.52MB)
--------Implementing a CNN for Text Classification in TensorFlow.ipynb(878KB)
----Convolutional Neural Network()
--------convolutional_neural_network05.png(132KB)
--------convolutional_neural_network02.png(254KB)
--------convolutional_neural_network.ipynb(821KB)
--------convolutional_neural_network07.png(292KB)
--------convolutional_neural_network06.png(106KB)
--------convolutional_neural_network04.png(35KB)
--------convolutional_neural_network08.png(254KB)
--------convolutional_neural_network01.png(258KB)
--------convolutional_neural_network03.png(42KB)
--------convolutional_neural_network09.png(73KB)
--------convolutional_neural_network10.png(126KB)
----Deep Learning Neural Network with Memory()
--------RNN01.png(64KB)
--------RNN02.png(69KB)
--------RNN03.png(69KB)
--------RNN05.png(240KB)
--------RNN04.png(122KB)
--------neural_network_with_memory.ipynb(969KB)
--------RNN06.png(137KB)
----Generative Adversarial Network()
--------gan01.png(142KB)
--------gan08.png(42KB)
--------gan02.png(126KB)
--------Intro_to_GANs.ipynb(304KB)
--------Generative Adversarial Network.ipynb(20KB)
--------gan04.png(168KB)
--------gan06.png(40KB)
--------gan05.png(69KB)
--------gan03.png(47KB)
--------gan07.png(89KB)
----Backpropagation()
--------back_propagation.ipynb(1.02MB)
--------back_propagation03.png(249KB)
--------back_propagation04.png(87KB)
--------back_propagation05.png(105KB)
--------back_propagation01.png(37KB)
--------back_propagation06.png(50KB)
--------back_propagation02.png(113KB)
--------back_propagation07.png(110KB)
----Introduction of Structured Learning()
--------structured_learning01.png(115KB)
--------Introduction of Structured Learning.ipynb(160KB)
----autoencoder()
--------Simple_Autoencoder.ipynb(169KB)
--------Convolutional_Autoencoder.ipynb(502KB)
----Neural Network (Basic Ideas)()
--------gradient_descent02.png(178KB)
--------gradient_descent01.png(198KB)
--------梯度下降.ipynb(754KB)
--------gradient_descent03.png(168KB)
----Weight Initialization()
--------helper.py(4KB)
--------weight_initialization.ipynb(268KB)
----Activation Function()
--------activation_function01.png(47KB)
--------activation_function03.png(31KB)
--------activation_function04.png(168KB)
--------activation_function.ipynb(795KB)
--------activation_function07.png(30KB)
--------activation_function02.png(18KB)
--------activation_function05.png(47KB)
--------activation_function06.png(17KB)
----Training Recurrent Neural Network()
--------训练RNN.ipynb(924KB)
--------training_rnn04.png(134KB)
--------training_rnn01.png(99KB)
--------training_rnn02.png(266KB)
--------training_rnn05.png(62KB)
--------training_rnn03.png(171KB)
----seq2seq()
--------v2-b2f4e56107dc06e4916a70d899e46203_hd.jpg(10KB)
--------checkpoint(169B)
--------data()
--------best_model.ckpt.data-00000-of-00001(811KB)
--------best_model.ckpt.meta(680KB)
--------sequence_to_sequence_implementation.ipynb(4.85MB)
--------best_model.ckpt.index(1KB)
--------language_translation.ipynb(52KB)
----word2vec()
--------Word2vec05.png(36KB)
--------Word2vec02.png(49KB)
--------Word2vec01.png(64KB)
--------Word2vec04.png(52KB)
--------word2vec.ipynb(238KB)
--------Word2vec03.png(60KB)
----Parameter Initialization()
--------parameter_initialization.ipynb(9KB)
----Tips for Training Deep Neural Network()
--------tips_for_training05.png(162KB)
--------tips_for_training.ipynb(1.53MB)
--------tips_for_training01.png(29KB)
--------tips_for_training10.png(143KB)
--------tips_for_training08.png(111KB)
--------tips_for_training07.png(66KB)
--------tips_for_training11.png(100KB)
--------tips_for_training06.png(111KB)
--------tips_for_training03.png(213KB)
--------tips_for_training04.png(127KB)
--------tips_for_training02.png(63KB)
----batch_normalization()
--------Batch_Normalization_Lesson.ipynb(14KB)
----README.md(4KB)
----.gitattributes(65B)
----sigmoid_network.py(8KB)