- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Artificial Intelligence for beginners - Neural Networks.zip
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- ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/3. Implement Progressive GANs on Celebs Dataset.mp4 323.0 MB
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/3. Implement Conditional GAN on MNIST Dataset.mp4 271.2 MB
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/7. Implement Wasserstein Loss Function.mp4 233.9 MB
- ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/3. Implement DC-GAN on UC Birds Dataset.mp4 159.2 MB
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- ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/7. Implement multi-way loss with Auxiliary-GAN on UC Birds Dataset.mp4 125.7 MB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/7. [Coding Exercise] Hands-on CycleGAN.mp4 118.4 MB
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- ~Get Your Files Here !/1. Course Agenda/1. Course Agenda.mp4 96.0 MB
- ~Get Your Files Here !/2. Introduction to PyTorch for GANs/6. PyTorch Custom Loss Function.mp4 93.9 MB
- ~Get Your Files Here !/2. Introduction to PyTorch for GANs/2. PyTorch Forward and Backward Propagation.mp4 80.2 MB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/5. [Coding Exercise] Hands-on Pix2Pix GAN.mp4 73.7 MB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/3. Working of Pix2Pix GAN and CycleGAN.mp4 70.3 MB
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/5. Implementing GAN Training Methodology.mp4 67.0 MB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/11. Diving Deeper into Vid2Vid GAN using YouTube Dance Video Dataset.mp4 44.0 MB
- ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/1. Introduction to DC-GANs.mp4 35.5 MB
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- 2. Convolution/1. Real-Life Examples of Convolution.mp4 86.2 MB
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- 7. Project Facial Expression Recognition/5. Convolutional Net in Theano.mp4 54.2 MB
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- 4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.mp4 41.3 MB
- 8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
- 8. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
- 2. Convolution/2. Beginner's Guide to Convolution.mp4 36.0 MB
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- 3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.mp4 22.7 MB
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- 2. Convolution/7. Write Convolution Yourself.mp4 19.2 MB
- 8. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
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- 3.2. Network Security Devices/16.Content distribution networks.mp4 7.6 MB
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- 【压缩文件】 [GigaCourse.com] Udemy - Deep Learning A-Z™ Hands-On Artificial Neural Networks
- 收录时间:2020-04-22 文档个数:348 文档大小:3.6 GB 最近下载:2024-11-15 人气:2601 磁力链接
- 1. Welcome to the course/6.1 DL Colab Changes.zip 293.6 MB
- 6. Evaluating, Improving and Tuning the ANN/1. Evaluating the ANN.mp4 58.6 MB
- 14. RNN Intuition/6. Practical intuition.mp4 55.4 MB
- 26. Building an AutoEncoder/16. THANK YOU bonus video.mp4 54.8 MB
- 6. Evaluating, Improving and Tuning the ANN/3. Tuning the ANN.mp4 53.2 MB
- 26. Building an AutoEncoder/8. Building an AutoEncoder - Step 4.mp4 52.0 MB
- 10. Building a CNN/12. Building a CNN - Step 9.mp4 49.2 MB
- 14. RNN Intuition/5. LSTMs.mp4 48.2 MB
- 4. Building an ANN/6. Building an ANN - Step 2.mp4 48.1 MB
- 23. Building a Boltzmann Machine/8. Building a Boltzmann Machine - Step 4.mp4 47.9 MB
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- 23. Building a Boltzmann Machine/17. Building a Boltzmann Machine - Step 13.mp4 45.1 MB
- 9. CNN Intuition/8. Step 4 - Full Connection.mp4 44.8 MB
- 30. Classification Template/5. Logistic Regression Implementation - Step 5.mp4 44.6 MB
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- 23. Building a Boltzmann Machine/18. Building a Boltzmann Machine - Step 14.mp4 42.4 MB
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- 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/2.1 Data.zip.zip 558.2 MB
- 10. Convolution Neural Network (CNN) For Image Analysis/1. Introduction to CNN.mp4 192.4 MB
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- 7. Unsupervised Learning With Tensorflow and Keras/7.1 creditcard.csv.csv 150.8 MB
- 5. Some Preliminary Tensorflow and Keras Applications/9.1 creditcard.csv.csv 150.8 MB
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- 9. Deep Learning For Tensorflow & Keras/5. Wide & Deep Learning (Tensorflow).mp4 128.9 MB
- 5. Some Preliminary Tensorflow and Keras Applications/1. Theory of Linear Regression (OLS).mp4 118.2 MB
- 2. Introduction to Python Data Science Packages/4. Numpy Operations.mp4 117.2 MB
- 10. Convolution Neural Network (CNN) For Image Analysis/6. CNN on Image Data-Part 1.mp4 114.2 MB
- 5. Some Preliminary Tensorflow and Keras Applications/9. Linear Classifier For Binary Classification.mp4 112.5 MB
- 6. Some Basic Concepts/2. Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks).mp4 112.2 MB
- 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/5. Introduction to IPython.mp4 105.9 MB
- 9. Deep Learning For Tensorflow & Keras/1. What is Artificial Intelligence.mp4 104.4 MB
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- 1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.mp4 98.8 MB
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- Chapter 2 Machine Learning and Neurons/005. Regression Notebook.mp4 50.0 MB
- Chapter 2 Machine Learning and Neurons/003. Classification Notebook.mp4 46.9 MB
- Chapter 3 Feedforward Artificial Neural Networks/007. Code Preparation (Artificial Neural Networks).mp4 44.2 MB
- Chapter 5 In-Depth Gradient Descent/005. Adam Optimization (Part 1).mp4 44.1 MB
- Chapter 5 In-Depth Gradient Descent/006. Adam Optimization (Part 2).mp4 42.4 MB
- Chapter 3 Feedforward Artificial Neural Networks/008. ANN for Image Classification.mp4 42.1 MB
- Chapter 3 Feedforward Artificial Neural Networks/003. The Geometrical Picture.mp4 41.3 MB
- Chapter 2 Machine Learning and Neurons/007. How Does a Model Learn .mp4 40.4 MB
- Chapter 2 Machine Learning and Neurons/006. The Neuron.mp4 35.7 MB
- Chapter 3 Feedforward Artificial Neural Networks/005. Multiclass Classification.mp4 35.6 MB
- Chapter 3 Feedforward Artificial Neural Networks/002. Forward Propagation.mp4 35.4 MB
- Chapter 5 In-Depth Gradient Descent/004. Variable and Adaptive Learning Rates.mp4 34.2 MB
- Chapter 4 In-Depth Loss Functions/001. Mean Squared Error.mp4 31.8 MB
- Chapter 2 Machine Learning and Neurons/008. Making Predictions.mp4 31.2 MB
- Chapter 5 In-Depth Gradient Descent/003. Momentum.mp4 30.2 MB
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- 【影视】 Pluralsight - Deploy Azure Virtual Networks, VPNs, and Gateways
- 收录时间:2020-02-28 文档个数:65 文档大小:414.9 MB 最近下载:2024-11-15 人气:4849 磁力链接
- 04.Deploy Network Security Groups/02.Create Plaz-vm-3 with PS.mp4 24.3 MB
- 03.Connect Virtual Networks/02.Create VNet2 with PowerShell.mp4 23.0 MB
- 07.Connect an On-premise Network to Azure/03.Create VNet4 with JSON Template.mp4 22.6 MB
- 04.Deploy Network Security Groups/04.Create NSG with PowerShell.mp4 21.7 MB
- 07.Connect an On-premise Network to Azure/02.Use JSON Templates.mp4 21.6 MB
- 06.Deploy a Point to Site VPN/03.Configure a Point-to-site VPN.mp4 20.2 MB
- 06.Deploy a Point to Site VPN/02.Create a Self-signed Certificate.mp4 19.9 MB
- 04.Deploy Network Security Groups/03.Create Network Security Group NSG-BE.mp4 19.7 MB
- 03.Connect Virtual Networks/04.Set-Up Vnet1 and VNet2 Gateways.mp4 19.6 MB
- 06.Deploy a Point to Site VPN/04.Connect to a Point-to-site VPN.mp4 18.3 MB
- 02.Build a Simple Virtual Network/04.Create Plaz-VM-1.mp4 18.0 MB
- 07.Connect an On-premise Network to Azure/06.Connect LocalNet to VNet4.mp4 17.6 MB
- 02.Build a Simple Virtual Network/02.Customize the Azure Portal.mp4 16.6 MB
- 06.Deploy a Point to Site VPN/05.Delete Resource Groups.mp4 15.8 MB
- 07.Connect an On-premise Network to Azure/05.Configure Gateways on VNet4.mp4 14.4 MB
- 07.Connect an On-premise Network to Azure/04.Install RRAS on LocalNet.mp4 14.3 MB
- 05.Use a Virtual Appliance and User Defined Routes/02.Install a Virtual Appliance.mp4 13.9 MB
- 03.Connect Virtual Networks/03.Create Plaz-VM-2.mp4 12.4 MB
- 05.Use a Virtual Appliance and User Defined Routes/04.Set User Defined Route with PowerShell.mp4 12.1 MB
- 03.Connect Virtual Networks/05.Connect VNet1 to VNet2.mp4 11.9 MB
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