文件名称：深度学习完整教程，深入浅出.zip
文件大小：390.71MB
文件格式：ZIP
更新时间：2022-10-13 21:09:08
开源项目
深度学习完整教程，深入浅出。.zip,深度学习教程（第二版）
【文件预览】：
dl_tutorials-master
----.gitignore(22B)
----README.md(6KB)
----LICENSE(1KB)
----presentations()
--------Week4-1a Image detection (RCNN, SPPnet, FastRCNN, FasterRCNN).pptx(25.57MB)
--------Week1-1b Deep learning intro.pptx(15.93MB)
--------Week1-2d Logistic regression (logistic_regression_mnist).pptx(7.24MB)
--------Week1-2c TensorFlow basic (basic_tensorflow).pptx(3.34MB)
--------Week1-1a Class introduction.pptx(39.57MB)
--------Week6-1a Residual Networks and Analysis.pptx(5.97MB)
--------Week1-1c Python basic (basic_python).pptx(22.57MB)
--------Week1-1d MNIST (basic_mnist) and image processing (basic_imgprocess).pptx(5.01MB)
--------Week2-2c Denoising auto-encoder (dae_mnist).pptx(7.49MB)
--------Week4-1a Image detection.pptx(18.69MB)
--------Week5-1b Implementing RNN (rnn_mnist_simple).pptx(300KB)
--------Week4-2a RNN (colah blog).pptx(6.59MB)
--------Week2-1a Week1 summary.pptx(2.48MB)
--------Week1-2a Terminologies.pptx(10.97MB)
--------Week2-2b Restricted Boltzmann machine.pptx(4.87MB)
--------Week6-1b Neural Style.pptx(11.7MB)
--------Week5-2b Image Captioning.pptx(30.53MB)
--------Week5-2a Word2Vec.pptx(2.35MB)
--------Week2-1c AlphaGo.pptx(7.26MB)
--------Ubuntu in virtualbox.pptx(9.29MB)
--------Week3-1b Semantic segmentation details+SOTA.pptx(14.84MB)
--------Week4-2d Deep reinforcement learning.pptx(5.98MB)
--------Week4-2c Super resolution.pptx(5.42MB)
--------Week2-1e Generate your own dataset (basic_gendataset).pptx(2.37MB)
--------Week1-2b CNN and AlexNet.pptx(3.01MB)
--------Week2-1f Regulaziation.pptx(3.2MB)
--------Week1-1e What we will do.pptx(40KB)
--------Week5-2a Word2Vec again.pptx(7.05MB)
--------Week3-1a Semantic segmentation.pptx(7.33MB)
--------Week6-1d CNN finetune with VGG (use_vgg, cnn_finetune_vgg).pptx(12.83MB)
--------Week6-1c Neural Style Code.pptx(7.11MB)
--------Week3-1d Powerful CNN (cnn_mnist_basic).pptx(1.35MB)
--------Week3-2b Use your own dataset (basic_gendataset, lr, mlp, cnn).pptx(9.23MB)
--------Week3-1e Implementing semantic segmentation (semseg_basic).pptx(2.62MB)
--------Notebooks are in tensorflow-101 (github@sjchoi86).rtf(528B)
--------Week5-1a RNN + LSTM + Handwrting Gen.pptx(1.53MB)
--------Week2-2a Optimizaiton methods.pptx(14.32MB)
--------Week4-1b Other dections (YOLO, AttentionNet).pptx(28.06MB)
--------Week6-2b Adversarial Attack.pptx(1.42MB)
--------Week6-2c Generative Adversarial Network.pptx(9.53MB)
--------Week5-2c Hangul-RNN.pptx(5.35MB)
--------Week4-1c TensorBoard.pptx(3.33MB)
--------Week4-2b Visual QnA.pptx(31.03MB)
--------Week2-1d Multi-layer perceptron (mlp_mnist_simple).pptx(1.05MB)
--------Week6-2a Bayesian Optimization.pptx(93.06MB)
--------Week2-1b GoogLeNet.pptx(2.53MB)
--------Week3-2c Denoising deconvolutional network.pptx(5.2MB)
--------Week3-2a Weakly supervised learning.pptx(35.83MB)
--------Week3-1c What is CNN (cnn_mnist_simple).pptx(3.58MB)