Courser深度学习-吴恩达

size: 2.20 GB

|- 课件 - 0 B
|- 5-8 What does this have to do with the brain.mp4 - 21.60 MB
|- 5-7 Parameters vs Hyperparameters.mp4 - 47.50 MB
|- 5-6 Forward and Backward Propagation.mp4 - 68.20 MB
|- 5-5 Building blocks of deep neural networks.mp4 - 55.70 MB
|- 5-4 Why deep representations.mp4 - 68.60 MB
|- 5-3 Getting your matrix dimensions right.mp4 - 71.60 MB
|- 5-2 Forward Propagation in a Deep Network.mp4 - 47.20 MB
|- 5-1 Deep L-layer neural network.mp4 - 38.20 MB
|- 4-9 Gradient descent for Neural Networks.mp4 - 64.80 MB
|- 4-8 Derivatives of activation functions.mp4 - 51.80 MB
|- 4-7 Why do you need non-linear activation functions.mp4 - 36.60 MB
|- 4-6 Activation functions.mp4 - 71.10 MB
|- 4-5 Explanation for Vectorized Implementation.mp4 - 49.60 MB
|- 4-4 Vectorizing across multiple examples.mp4 - 59.20 MB
|- 4-3 Computing a Neural Network’s Output.mp4 - 64.40 MB
|- 4-2 Neural Network Representation.mp4 - 34.10 MB
|- 4-11 Random Initialization.mp4 - 51.80 MB
|- 4-10 Backpropagation intuition (optional).mp4 - 102.50 MB
|- 4-1 Neural Networks Overview.mp4 - 29.10 MB
|- 3-8 Explanation of logistic regression cost function (optional).mp4 - 47.20 MB
|- 3-7 Quick tour of Jupyter_or_iPython Notebooks.mp4 - 24.40 MB
|- 3-6 A note on python_numpy vectors.mp4 - 44.40 MB
|- 3-5 Broadcasting in Python.mp4 - 71.60 MB
|- 3-4 Vectorizing Logistic Regression’s Gradient Output.mp4 - 62.60 MB
|- 3-3 Vectorizing Logistic Regression.mp4 - 49.10 MB
|- 3-2 More Vectorization Examples.mp4 - 41.20 MB
|- 3-1 Vectorization.mp4 - 52.50 MB
|- 2-9 Logistic Regression Gradient Descent.mp4 - 43.70 MB
|- 2-8 Derivatives with a Computation Graph.mp4 - 94.50 MB
|- 2-7 Computation graph.mp4 - 22.20 MB
|- 2-6 More Derivative Examples.mp4 - 68.00 MB
|- 2-5 Derivatives.mp4 - 46.70 MB
|- 2-4 Gradient Descent.mp4 - 74.00 MB
|- 2-3 Logistic Regression Cost Function.mp4 - 53.40 MB
|- 2-2 Logistic Regression.mp4 - 39.10 MB
|- 2-10 Gradient Descent on m Examples.mp4 - 52.10 MB
|- 2-1 Binary Classification.mp4 - 54.70 MB
|- 1-4 About this Course.mp4 - 16.00 MB
|- 1-3 Why is Deep Learning taking off.mp4 - 67.10 MB
|- 1-2 Supervised Learning with Neural Networks.mp4 - 55.00 MB
|- 1-1 what is a neural network.mp4 - 47.40 MB
|- 0 Welcom.mp4 - 36.00 MB

How to download

Courser深度学习-吴恩达

size: 2.20 GB

|- 课件 - 0 B
|- 5-8 What does this have to do with the brain.mp4 - 21.60 MB
|- 5-7 Parameters vs Hyperparameters.mp4 - 47.50 MB
|- 5-6 Forward and Backward Propagation.mp4 - 68.20 MB
|- 5-5 Building blocks of deep neural networks.mp4 - 55.70 MB
|- 5-4 Why deep representations.mp4 - 68.60 MB
|- 5-3 Getting your matrix dimensions right.mp4 - 71.60 MB
|- 5-2 Forward Propagation in a Deep Network.mp4 - 47.20 MB
|- 5-1 Deep L-layer neural network.mp4 - 38.20 MB
|- 4-9 Gradient descent for Neural Networks.mp4 - 64.80 MB
|- 4-8 Derivatives of activation functions.mp4 - 51.80 MB
|- 4-7 Why do you need non-linear activation functions.mp4 - 36.60 MB
|- 4-6 Activation functions.mp4 - 71.10 MB
|- 4-5 Explanation for Vectorized Implementation.mp4 - 49.60 MB
|- 4-4 Vectorizing across multiple examples.mp4 - 59.20 MB
|- 4-3 Computing a Neural Network’s Output.mp4 - 64.40 MB
|- 4-2 Neural Network Representation.mp4 - 34.10 MB
|- 4-11 Random Initialization.mp4 - 51.80 MB
|- 4-10 Backpropagation intuition (optional).mp4 - 102.50 MB
|- 4-1 Neural Networks Overview.mp4 - 29.10 MB
|- 3-8 Explanation of logistic regression cost function (optional).mp4 - 47.20 MB
|- 3-7 Quick tour of Jupyter_or_iPython Notebooks.mp4 - 24.40 MB
|- 3-6 A note on python_numpy vectors.mp4 - 44.40 MB
|- 3-5 Broadcasting in Python.mp4 - 71.60 MB
|- 3-4 Vectorizing Logistic Regression’s Gradient Output.mp4 - 62.60 MB
|- 3-3 Vectorizing Logistic Regression.mp4 - 49.10 MB
|- 3-2 More Vectorization Examples.mp4 - 41.20 MB
|- 3-1 Vectorization.mp4 - 52.50 MB
|- 2-9 Logistic Regression Gradient Descent.mp4 - 43.70 MB
|- 2-8 Derivatives with a Computation Graph.mp4 - 94.50 MB
|- 2-7 Computation graph.mp4 - 22.20 MB
|- 2-6 More Derivative Examples.mp4 - 68.00 MB
|- 2-5 Derivatives.mp4 - 46.70 MB
|- 2-4 Gradient Descent.mp4 - 74.00 MB
|- 2-3 Logistic Regression Cost Function.mp4 - 53.40 MB
|- 2-2 Logistic Regression.mp4 - 39.10 MB
|- 2-10 Gradient Descent on m Examples.mp4 - 52.10 MB
|- 2-1 Binary Classification.mp4 - 54.70 MB
|- 1-4 About this Course.mp4 - 16.00 MB
|- 1-3 Why is Deep Learning taking off.mp4 - 67.10 MB
|- 1-2 Supervised Learning with Neural Networks.mp4 - 55.00 MB
|- 1-1 what is a neural network.mp4 - 47.40 MB
|- 0 Welcom.mp4 - 36.00 MB

How to download

Coursera-深度学习-吴恩达等

size: 2.20 GB

|- 课件 - 0 B
|- 5-8 What does this have to do with the brain.mp4 - 21.60 MB
|- 5-7 Parameters vs Hyperparameters.mp4 - 47.50 MB
|- 5-6 Forward and Backward Propagation.mp4 - 68.20 MB
|- 5-5 Building blocks of deep neural networks.mp4 - 55.70 MB
|- 5-4 Why deep representations.mp4 - 68.60 MB
|- 5-3 Getting your matrix dimensions right.mp4 - 71.60 MB
|- 5-2 Forward Propagation in a Deep Network.mp4 - 47.20 MB
|- 5-1 Deep L-layer neural network.mp4 - 38.20 MB
|- 4-9 Gradient descent for Neural Networks.mp4 - 64.80 MB
|- 4-8 Derivatives of activation functions.mp4 - 51.80 MB
|- 4-7 Why do you need non-linear activation functions.mp4 - 36.60 MB
|- 4-6 Activation functions.mp4 - 71.10 MB
|- 4-5 Explanation for Vectorized Implementation.mp4 - 49.60 MB
|- 4-4 Vectorizing across multiple examples.mp4 - 59.20 MB
|- 4-3 Computing a Neural Network’s Output.mp4 - 64.40 MB
|- 4-2 Neural Network Representation.mp4 - 34.10 MB
|- 4-11 Random Initialization.mp4 - 51.80 MB
|- 4-10 Backpropagation intuition (optional).mp4 - 102.50 MB
|- 4-1 Neural Networks Overview.mp4 - 29.10 MB
|- 3-8 Explanation of logistic regression cost function (optional).mp4 - 47.20 MB
|- 3-7 Quick tour of Jupyter_or_iPython Notebooks.mp4 - 24.40 MB
|- 3-6 A note on python_numpy vectors.mp4 - 44.40 MB
|- 3-5 Broadcasting in Python.mp4 - 71.60 MB
|- 3-4 Vectorizing Logistic Regression’s Gradient Output.mp4 - 62.60 MB
|- 3-3 Vectorizing Logistic Regression.mp4 - 49.10 MB
|- 3-2 More Vectorization Examples.mp4 - 41.20 MB
|- 3-1 Vectorization.mp4 - 52.50 MB
|- 2-9 Logistic Regression Gradient Descent.mp4 - 43.70 MB
|- 2-8 Derivatives with a Computation Graph.mp4 - 94.50 MB
|- 2-7 Computation graph.mp4 - 22.20 MB
|- 2-6 More Derivative Examples.mp4 - 68.00 MB
|- 2-5 Derivatives.mp4 - 46.70 MB
|- 2-4 Gradient Descent.mp4 - 74.00 MB
|- 2-3 Logistic Regression Cost Function.mp4 - 53.40 MB
|- 2-2 Logistic Regression.mp4 - 39.10 MB
|- 2-10 Gradient Descent on m Examples.mp4 - 52.10 MB
|- 2-1 Binary Classification.mp4 - 54.70 MB
|- 1-4 About this Course.mp4 - 16.00 MB
|- 1-3 Why is Deep Learning taking off.mp4 - 67.10 MB
|- 1-2 Supervised Learning with Neural Networks.mp4 - 55.00 MB
|- 1-1 what is a neural network.mp4 - 47.40 MB
|- 0 Welcom.mp4 - 36.00 MB

How to download

CP_ Array_ Reference

size: 69.17 MB

|- Wideband circularly polarized substrate integrated cavity-backed antenna array.pdf - 988.00 kB
|- Wideband circular-polarization reconfigurable antenna with L-shaped feeding probes.pdf - 576.00 kB
|- Wideband circular polarization reconfigurable antenna.pdf - 1.40 MB
|- W-band large-scale high-gain planar integrated antenna array.pdf - 1.00 MB
|- Small antennas in wireless communications.pdf - 1.80 MB
|- Simulation and experiment on SIW slot array antennas.pdf - 354.00 kB
|- Printed circularly polarized spiral antenna array for millimeter-wave applications.pdf - 2.20 MB
|- Planar high-gain circularly polarized element antenna for array applications.pdf - 2.50 MB
|- Multipolarization-reconfigurable circular patch antenna with L-shaped probes.pdf - 1.10 MB
|- Multi-polarization reconfigurable antenna for wireless biomedical system.pdf - 1.60 MB
|- Millimeter-wave wideband high-efficiency circularly polarized planar array antenna.pdf - 3.40 MB
|- Low-profile low-cost broadband millimeter-wave antenna array for high-data-rate WPAN systems.pdf - 614.00 kB
|- Low-profile circularly polarized cavity-backed antennas using SIW techniques.pdf - 4.50 MB
|- Low-cost wideband microstrip antenna array for 60-GHz applications.pdf - 1.40 MB
|- Lightweight portable planar slot array antenna for satellite communications in X-band.pdf - 1.00 MB
|- High-gain planar antenna arrays for mobile satellite communications.pdf - 1.60 MB
|- High-gain planar antenna arrays for mobile satellite communications [antenna applications corner].pdf - 1.60 MB
|- Design of novel reconfigurable reflectarrays with single-bit phase resolution for Ku-band satellite antenna applications.pdf - 1.80 MB
|- Circularly polarized ellipse-loaded circular slot array for millimeter-wave WPAN applications.pdf - 791.00 kB
|- Circularly polarized conical-beam antenna with wide bandwidth and low profile.pdf - 2.80 MB
|- Circularly polarised printed antenna with conical beam.pdf - 439.00 kB
|- Broadband high-gain SIW cavity-backed circular-polarized array antenna.pdf - 998.00 kB
|- Broadband circularly polarized patch antenna arrays with multiple-layers structure.pdf - 1.40 MB
|- Axial ratio bandwidth enhancement of 60-GHz substrate integrated waveguide-fed circularly polarized LTCC antenna array.pdf - 2.40 MB
|- Assembled dual-band broadband quadrifilar helix antennas with compact power divider networks for CNSS application.pdf - 3.00 MB
|- Accurate modeling wave mechanisms and design considerations of a substrate integrated waveguide.pdf - 611.00 kB
|- A new compact and high gain circularly-polarized slot antenna array for Ku-band mobile satellite TV reception.pdf - 10.80 MB
|- A new active phased array antenna for mobile direct broadcasting satellite reception.pdf - 211.00 kB
|- A new active phased array antenna for mobile direct broadcasting satellite reception (1).pdf - 211.00 kB
|- A Low Profile, Ultra-Lightweight, High Efficient Circularly-Polarized Antenna Array for Ku Band Satellite Applications.pdf - 9.00 MB
|- A 60-GHz wideband circularly polarized aperture-coupled magneto-electric dipole antenna array.pdf - 2.20 MB
|- A 60-GHz circularly-polarized array antenna-in-package in LTCC technology.pdf - 906.00 kB
|- 60-GHz LTCC integrated circularly polarized helical antenna array.pdf - 1.60 MB
|- 60-GHz circularly polarized U-slot patch antenna array on LTCC.pdf - 1.60 MB
|- 60-GHz circularly polarized antenna array made in low-cost fabrication process.pdf - 766.00 kB

How to download

CPA Ads Academy.zip

size: 936.50 MB
免费下载从最好的流量平台获取便宜的而又高转化率的付费流量（CPA Ads Academy）

How to download

CPIM

size: 2.89 GB
正在跳转中…

|- BSCM.iso - 0 B
|- 希望你做的比我好-CPIM考试历程分享-Sam Xia-2014-6-2.pdf - 1.50 MB
|- Supply Chain Management And Advanced Planning - Concepts, Models, Software And Case Studies.pdf - 6.20 MB
|- STG.pdf - 380.00 kB
|- SMR 重点.docx - 46.00 kB
|- SMR 真题.docx - 61.00 kB
|- SMR content manual 2011考纲.pdf - 395.00 kB
|- smr 350.pdf - 407.00 kB
|- PMBOK 第5版.pdf - 28.10 MB
|- PG5.+SMR.pdf - 361.10 MB
|- PG4.+MPR.pdf - 416.10 MB
|- PG3.+ECO1.pdf - 379.70 MB
|- PG3.+ECO.pdf - 384.20 MB
|- PG2.+DSP1.pdf - 329.30 MB
|- PG2.+DSP.pdf - 143.70 MB
|- PG1.+BSCM2.pdf - 267.00 MB
|- PG1.+BSCM1.pdf - 276.40 MB
|- MPR_2011ECMdoc.pdf - 322.00 kB
|- Lean within Logistics .pdf - 1.20 MB
|- Lean Philosophy Rev 23 Aug 2010-CN.pdf - 662.00 kB
|- Lean Introduction_20130817.pdf - 2.00 MB
|- Introduction to Materials Management 6th Edition.pdf - 2.80 MB
|- Introduction to Materials Management - 阅读版 (7t - Arnold, J. R. Tony).pdf - 2.50 MB
|- Integral Logistics Management 3 E.pdf - 6.70 MB
|- Integral Logistics Management 2nd Edition.pdf - 5.30 MB
|- Improving Inventory Record Accuracy.pdf - 1.50 MB
|- ECO Sample TEST (1).pdf - 270.00 kB
|- ECO Practics Questions.pdf - 106.00 kB
|- DSP 习题，印在最后.pdf - 134.00 kB
|- datachem使用.png - 110.00 kB
|- DATACHEM bscmV7.2.pdf - 532.00 kB
|- CPIM学习指南 Frank.pdf - 612.00 kB
|- CPIM_datachem_6.1.iso - 18.70 MB
|- CPIM_CSCP_tips_2014_06.pdf - 338.00 kB
|- CPIM.docx - 16.00 kB
|- CPIM-CSCP Training Plan2014S02.pdf - 127.00 kB
|- CPIM-2014介绍.pdf - 181.00 kB
|- cpim term.pdf - 656.00 kB
|- CPIM Introduction.pdf - 631.00 kB
|- CPIM Basics of Supply Chain Mgmt Study Guide.pdf - 469.00 kB
|- CPIM 2012.pdf - 411.00 kB
|- BSCM第一章.ppt - 489.00 kB
|- BSCM第五章.ppt - 430.00 kB
|- BSCM第四章.ppt - 637.00 kB
|- BSCM第十章.ppt - 382.00 kB
|- BSCM第三章.ppt - 623.00 kB
|- BSCM第七章.ppt - 465.00 kB
|- BSCM.iso.zip - 57.60 MB
|- BSCM.All10.Modules.Condensed.ppt - 1.01 MB
|- Best Practice in Inventory Management 2nd Edition.pdf - 1.20 MB
|- Basics of Supply Chain Management APICS CPIM Certification Course Study Guide.pdf - 1.90 MB
|- APICS——Sales & Operations Planning,The How To Handbook.pdf - 38.80 MB
|- APICS_MPR PG答案 仅供参考.pdf - 5.10 MB
|- APICS_ECO 经典350题库.pdf - 427.00 kB
|- APICS 辞典PDF格式 方便查阅.pdf - 1.80 MB
|- 2012大纲BSCM.pdf - 109.00 kB
|- 1-IMM+7th.zip - 139.40 MB

How to download

Croatian Rhapsody 2.

size: 399.70 MB

|- Wonderland 2016.wav - 37.30 MB
|- Samba de Roda.wav - 37.20 MB
|- Mountain King 2016.wav - 43.80 MB
|- Mission Impossible 2016.wav - 39.00 MB
|- Exodus 2016.wav - 31.10 MB
|- Croatian Rhapsody 2016.wav - 44.00 MB
|- Claudine 2016.wav - 48.80 MB
|- Child in Paradise 2016.wav - 38.20 MB
|- Bumblebee 2016.wav - 37.30 MB
|- Above the Clouds.wav - 41.70 MB
|- 1400x1400bb-100.jpg - 1.30 MB

How to download

CS231n 2017 中英字幕

size: 11.75 GB

|- 9.1 CNN架构.mp4 - 453.50 MB
|- 9. CNN Architectures.srt - 115.00 kB
|- 9. CNN Architectures.pdf - 2.30 MB
|- 9. CNN Architectures.mp4 - 516.10 MB
|- 8.1 深度学习软件.mp4 - 430.50 MB
|- 8. Deep Learning Software.srt - 146.00 kB
|- 8. Deep Learning Software.pdf - 4.50 MB
|- 8. Deep Learning Software.mp4 - 488.00 MB
|- 7.3 迁移学习.mp4 - 19.20 MB
|- 7.2 正则化.mp4 - 45.60 MB
|- 7.1 更好的优化.mp4 - 160.10 MB
|- 7. Training Neural Networks II.srt - 143.00 kB
|- 7. Training Neural Networks II.mp4 - 458.70 MB
|- 7. Training Neural Networks II.pdf - 2.70 MB
|- 6.2 批量归一化.mp4 - 123.10 MB
|- 6.1 激活函数.mp4 - 159.70 MB
|- 6. Training Neural Networks I.srt - 127.00 kB
|- 6. Training Neural Networks I.pdf - 3.00 MB
|- 6. Training Neural Networks I.mp4 - 508.40 MB
|- 5.3 视觉之外的卷积神经网络.mp4 - 62.70 MB
|- 5.2 卷积和池化.mp4 - 127.50 MB
|- 5.1 历史.mp4 - 62.20 MB
|- 5. Convolutional Neural Networks.srt - 106.00 kB
|- 5. Convolutional Neural Networks.pdf - 10.40 MB
|- 5. Convolutional Neural Networks.mp4 - 454.90 MB
|- 4.2 神经网络.mp4 - 59.30 MB
|- 4.1 反向传播.mp4 - 150.30 MB
|- 4. Introduction to Neural Networks.srt - 120.00 kB
|- 4. Introduction to Neural Networks.pdf - 2.60 MB
|- 4. Introduction to Neural Networks.mp4 - 416.80 MB
|- 3.2 优化.mp4 - 100.70 MB
|- 3.1 损失函数.mp4 - 192.80 MB
|- 3. Loss Functions and Optimization.srt - 133.00 kB
|- 3. Loss Functions and Optimization.pdf - 4.60 MB
|- 3. Loss Functions and Optimization.mp4 - 502.50 MB
|- 2.3 线性分类I.mp4 - 49.60 MB
|- 2.2 K最近邻算法.mp4 - 74.40 MB
|- 2.1 数据驱动方法.mp4 - 82.70 MB
|- 2. Image Classification.srt - 112.00 kB
|- 2. Image Classification.pdf - 5.30 MB
|- 2. Image Classification.mp4 - 395.20 MB
|- 16. Adversarial Examples and Adversarial Training.srt - 140.00 kB
|- 16. Adversarial Examples and Adversarial Training.pdf - 4.70 MB
|- 16. Adversarial Examples and Adversarial Training.mp4 - 473.00 MB
|- 15. Efficient Methods and Hardware for Deep Learning.srt - 95.00 kB
|- 15. Efficient Methods and Hardware for Deep Learning.pdf - 8.00 MB
|- 15. Efficient Methods and Hardware for Deep Learning.mp4 - 614.30 MB
|- 14.2 Q-Learning,Actor-Critic算法.mp4 - 164.60 MB
|- 14.1 策略梯度，硬注意.mp4 - 42.30 MB
|- 14. Deep Reinforcement Learning.srt - 104.00 kB
|- 14. Deep Reinforcement Learning.pdf - 1.60 MB
|- 14. Deep Reinforcement Learning.mp4 - 377.60 MB
|- 13.3 生成式对抗网络.mp4 - 130.50 MB
|- 13.2 变分自编码器.mp4 - 104.50 MB
|- 13.1 Pixel RNN_CNN.mp4 - 64.30 MB
|- 13. Generative Models.srt - 116.00 kB
|- 13. Generative Models.pdf - 4.30 MB
|- 13. Generative Models.mp4 - 466.20 MB
|- 12.2 DeepDream和风格迁移.mp4 - 145.90 MB
|- 12.1 特征可视化,倒置,对抗样本.mp4 - 321.10 MB
|- 12. Visualizing and Understanding.srt - 145.00 kB
|- 12. Visualizing and Understanding.pdf - 15.80 MB
|- 12. Visualizing and Understanding.mp4 - 572.10 MB
|- 11.3 识别.mp4 - 176.60 MB
|- 11.2 定位.mp4 - 38.20 MB
|- 11.1 分割.mp4 - 94.70 MB
|- 11. Detection and Segmentation.srt - 132.00 kB
|- 11. Detection and Segmentation.pdf - 7.20 MB
|- 11. Detection and Segmentation.mp4 - 507.90 MB
|- 10.3 图像标注,视觉问答,Soft attention模型.mp4 - 155.10 MB
|- 10.2 语言模型.mp4 - 65.10 MB
|- 10.1 RNN,LSTM,GRU.mp4 - 66.20 MB
|- 10. Recurrent Neural Networks.srt - 148.00 kB
|- 10. Recurrent Neural Networks.pdf - 5.60 MB
|- 10. Recurrent Neural Networks.mp4 - 433.90 MB
|- 1.3 课程后勤.mp4 - 77.30 MB
|- 1.2 计算机视觉历史背景.mp4 - 224.20 MB
|- 1.1 计算机视觉概述.mp4 - 39.60 MB
|- 1. Introduction.pdf - 16.20 MB
|- 1. Introduction to Convolutional Neural Networks for Visual Recognition.srt - 79.00 kB
|- 1. Introduction to Convolutional Neural Networks for Visual Recognition.mp4 - 203.50 MB

How to download

CS231n 2017 中英字幕

size: 11.75 GB

|- 9.1 CNN架构.mp4 - 453.50 MB
|- 9. CNN Architectures.srt - 115.00 kB
|- 9. CNN Architectures.pdf - 2.30 MB
|- 9. CNN Architectures.mp4 - 516.10 MB
|- 8.1 深度学习软件.mp4 - 430.50 MB
|- 8. Deep Learning Software.srt - 146.00 kB
|- 8. Deep Learning Software.pdf - 4.50 MB
|- 8. Deep Learning Software.mp4 - 488.00 MB
|- 7.3 迁移学习.mp4 - 19.20 MB
|- 7.2 正则化.mp4 - 45.60 MB
|- 7.1 更好的优化.mp4 - 160.10 MB
|- 7. Training Neural Networks II.srt - 143.00 kB
|- 7. Training Neural Networks II.mp4 - 458.70 MB
|- 7. Training Neural Networks II.pdf - 2.70 MB
|- 6.2 批量归一化.mp4 - 123.10 MB
|- 6.1 激活函数.mp4 - 159.70 MB
|- 6. Training Neural Networks I.srt - 127.00 kB
|- 6. Training Neural Networks I.pdf - 3.00 MB
|- 6. Training Neural Networks I.mp4 - 508.40 MB
|- 5.3 视觉之外的卷积神经网络.mp4 - 62.70 MB
|- 5.2 卷积和池化.mp4 - 127.50 MB
|- 5.1 历史.mp4 - 62.20 MB
|- 5. Convolutional Neural Networks.srt - 106.00 kB
|- 5. Convolutional Neural Networks.pdf - 10.40 MB
|- 5. Convolutional Neural Networks.mp4 - 454.90 MB
|- 4.2 神经网络.mp4 - 59.30 MB
|- 4.1 反向传播.mp4 - 150.30 MB
|- 4. Introduction to Neural Networks.srt - 120.00 kB
|- 4. Introduction to Neural Networks.pdf - 2.60 MB
|- 4. Introduction to Neural Networks.mp4 - 416.80 MB
|- 3.2 优化.mp4 - 100.70 MB
|- 3.1 损失函数.mp4 - 192.80 MB
|- 3. Loss Functions and Optimization.srt - 133.00 kB
|- 3. Loss Functions and Optimization.pdf - 4.60 MB
|- 3. Loss Functions and Optimization.mp4 - 502.50 MB
|- 2.3 线性分类I.mp4 - 49.60 MB
|- 2.2 K最近邻算法.mp4 - 74.40 MB
|- 2.1 数据驱动方法.mp4 - 82.70 MB
|- 2. Image Classification.srt - 112.00 kB
|- 2. Image Classification.pdf - 5.30 MB
|- 2. Image Classification.mp4 - 395.20 MB
|- 16. Adversarial Examples and Adversarial Training.srt - 140.00 kB
|- 16. Adversarial Examples and Adversarial Training.pdf - 4.70 MB
|- 16. Adversarial Examples and Adversarial Training.mp4 - 473.00 MB
|- 15. Efficient Methods and Hardware for Deep Learning.srt - 95.00 kB
|- 15. Efficient Methods and Hardware for Deep Learning.pdf - 8.00 MB
|- 15. Efficient Methods and Hardware for Deep Learning.mp4 - 614.30 MB
|- 14.2 Q-Learning,Actor-Critic算法.mp4 - 164.60 MB
|- 14.1 策略梯度，硬注意.mp4 - 42.30 MB
|- 14. Deep Reinforcement Learning.srt - 104.00 kB
|- 14. Deep Reinforcement Learning.pdf - 1.60 MB
|- 14. Deep Reinforcement Learning.mp4 - 377.60 MB
|- 13.3 生成式对抗网络.mp4 - 130.50 MB
|- 13.2 变分自编码器.mp4 - 104.50 MB
|- 13.1 Pixel RNN_CNN.mp4 - 64.30 MB
|- 13. Generative Models.srt - 116.00 kB
|- 13. Generative Models.pdf - 4.30 MB
|- 13. Generative Models.mp4 - 466.20 MB
|- 12.2 DeepDream和风格迁移.mp4 - 145.90 MB
|- 12.1 特征可视化,倒置,对抗样本.mp4 - 321.10 MB
|- 12. Visualizing and Understanding.srt - 145.00 kB
|- 12. Visualizing and Understanding.pdf - 15.80 MB
|- 12. Visualizing and Understanding.mp4 - 572.10 MB
|- 11.3 识别.mp4 - 176.60 MB
|- 11.2 定位.mp4 - 38.20 MB
|- 11.1 分割.mp4 - 94.70 MB
|- 11. Detection and Segmentation.srt - 132.00 kB
|- 11. Detection and Segmentation.pdf - 7.20 MB
|- 11. Detection and Segmentation.mp4 - 507.90 MB
|- 10.3 图像标注,视觉问答,Soft attention模型.mp4 - 155.10 MB
|- 10.2 语言模型.mp4 - 65.10 MB
|- 10.1 RNN,LSTM,GRU.mp4 - 66.20 MB
|- 10. Recurrent Neural Networks.srt - 148.00 kB
|- 10. Recurrent Neural Networks.pdf - 5.60 MB
|- 10. Recurrent Neural Networks.mp4 - 433.90 MB
|- 1.3 课程后勤.mp4 - 77.30 MB
|- 1.2 计算机视觉历史背景.mp4 - 224.20 MB
|- 1.1 计算机视觉概述.mp4 - 39.60 MB
|- 1. Introduction.pdf - 16.20 MB
|- 1. Introduction to Convolutional Neural Networks for Visual Recognition.srt - 79.00 kB
|- 1. Introduction to Convolutional Neural Networks for Visual Recognition.mp4 - 203.50 MB

How to download

XMLY 四招告别三分钟热度（houtouke.com）

size: 36.58 MB
www.houtouke.com/wp-content/plugins/erphpdown/downloadfile.php?id=11131&filename=1&md5key=db8f4b61901904c4cadfecfba94c1a81&times=1541166356&session_name=aHR0cHMlM0ElMkYlMkZwYW4uYmFpZHUuY29tJTJGcyUyRjFiN3FHMEg4Tk8yZ0VBbElxRVFsMVNBLS0tOGRlZGI3NTM=

|- 猴头客博客 houtouke.com.url - 113 B
|- 【课程简介】[houtouke.com].mp3 - 1.10 MB
|- 【讲在核心课程前的话】[houtouke.com].mp3 - 1.90 MB
|- 【核心课程04】GALA能量环第四招–Adjustment调整.mp3 - 7.60 MB
|- 【核心课程03】GALA能量环第三招–LOVE热爱.MP3 - 7.40 MB
|- 【核心课程02】GALA能量环第二招–ACTION行动.mp3 - 9.70 MB
|- 【核心课程01】 GALA能量环第一招–GOAL目标.mp3 - 7.30 MB
|- 【读者推荐03】期待不一样的花火.mp3 - 633.00 kB
|- 【读者推荐02】和更优秀的自己不期而遇[houtouke.com].mp3 - 474.00 kB
|- 【读者推荐01】 坚持是高贵的品质[houtouke.com].mp3 - 472.00 kB

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