名前: | [UDACITY] Deep Learning Nanodegree Program - [FCO] GloDLS |
_DESCRIPTION_: Files Included: (380 WebRips (MP4) + Project Files (PDF, TXT, JPG, PY) Language: English Torrent Contains: 2,643 Files, 168 Folders Course Source: https://eu.udacity.com/course/deep-learning-nanodegree--nd101 Description Deep learning is driving advances in artificial intelligence that are changing our world. Enroll now to build and apply your own deep neural networks to produce amazing solutions to important challenges. Course Syllabus Introduction • Get your first taste of deep learning by applying style transfer to your own images, and gain experience using development tools such as Anaconda and Jupyter notebooks. Neural Networks • Learn neural networks basics, and build your first network with Python and NumPy. Use the modern deep learning framework PyTorch to build multi-layer neural networks, and analyze real data. Convolutional Neural Networks • Learn how to build convolutional networks and use them to classify images (faces, melanomas, etc.) based on patterns and objects that appear in them. Use these networks to learn data compression and image denoising. Recurrent Neural Networks • Build your own recurrent networks and long short-term memory networks with PyTorch; perform sentiment analysis and use recurrent networks to generate new text from TV scripts. Generative Adversarial Networks • Learn to understand and implement the DCGAN model to simulate realistic images, with Ian Goodfellow, the inventor of GANS (generative adversarial networks). Deploying a Sentiment Analysis Model • Use deep neural networks to design agents that can learn to take actions in a simulated environment. Apply reinforcement learning to complex control tasks like video games and robotics. Project 1 • Predicting Bike-Sharing Patterns Project 2 • Dog-Breed Classifier Project 3 • Generate TV scripts Project 4 • Generate Faces Project 5 • Deploying a Sentiment Analysis Model. Why Take This Nanodegree Program? In this program, you’ll cover Convolutional and Recurrent Neural Networks, Generative Adversarial Networks, Deployment, and more. You’ll use PyTorch, and have access to GPUs to train models faster. You'll learn from authorities like Sebastian Thrun, Ian Goodfellow, Jun-Yan Zhu, and Andrew Trask. This is the ideal point-of-entry into the field of AI. | |
YouTube動画: | |
カテゴリ: | Tutorials |
言語: | English |
合計サイズ: | 3.33 GB |
情報のハッシュ: | F4AFBAC627A859C20F1E7E2B11B2D7789D3ED36C |
を追加することによって: | Prom3th3uS |
追加日: | 2018-11-21 20:29:21 |
トレントステータス: | Torrent Verified |
評価: | Not Yet Rated (Log in to rate it) |
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Part 01-Module 01-Lesson 05_Matrix Math and NumPy Refresher/index.html | 3.79 kB |
Part 01_Introduction to Deep Learning/Module 01_Introduction to the Nanodegree/Lesson 01_Welcome to Deep Learning/data.json | 44.42 kB |
Part 01_Introduction to Deep Learning/Module 01_Introduction to the Nanodegree/Lesson 02_Applying Deep Learning/data.json | 21.01 kB |
Part 01_Introduction to Deep Learning/Module 01_Introduction to the Nanodegree/Lesson 03_Anaconda/data.json | 33.47 kB |
Part 01_Introduction to Deep Learning/Module 01_Introduction to the Nanodegree/Lesson 04_Jupyter Notebooks/data.json | 52.71 kB |
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Part 02-Module 01-Lesson 01_Introduction to Neural Networks/19. Maximizing Probabilities.html | 9.68 kB |
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Part 03-Module 01-Lesson 07_CNN Project Dog Breed Classifier/01. CNN Project.html | 6.55 kB |
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Part 03-Module 01-Lesson 07_CNN Project Dog Breed Classifier/Project Rubric - Dog Breed Classifier.html | 12.75 kB |
Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/01. Intro.html | 7.23 kB |
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Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/15. More on Sensitivity and Specificity.html | 10.32 kB |
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Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/18. Refresh on ROC Curves.html | 10.51 kB |
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Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/20. Solution ROC Curve.html | 7.28 kB |
Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/21. Comparing our Results with Doctors.html | 7.27 kB |
Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/21. ROC Curve-fWwe_JlpnlQ.en.vtt | 3.04 kB |
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Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/22. Visualization-aGIGB4Ta3_A.en.vtt | 1.85 kB |
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Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/22. Visualization.html | 7.25 kB |
Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/23. What is the network looking at.html | 7.40 kB |
Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/23. What Is The Neural Network Looking At-qN-rvoxPbBw.en.vtt | 2.17 kB |
Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/23. What Is The Neural Network Looking At-qN-rvoxPbBw.mp4 | 3.46 MB |
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Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/26. Conclusion-WhpE_8sTt-0.en.vtt | 3.64 kB |
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Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/26. Conclusion.html | 7.23 kB |
Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/27. Useful Resources.html | 8.42 kB |
Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.en.vtt | 510.00 B |
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Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction.html | 7.33 kB |
Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/29. Mini Project Dermatologist AI.html | 19.01 kB |
Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/img/cat-1.jpeg | 230.78 kB |
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Part 03-Module 01-Lesson 08_Deep Learning for Cancer Detection with Sebastian Thrun/media/monkey-doctor.png | 189.92 kB |
Part 03_Convolutional Networks/Module 01_ConvNets/Lesson 01_Cloud Computing/data.json | 37.70 kB |
Part 03_Convolutional Networks/Module 01_ConvNets/Lesson 02_Convolutional Neural Networks/data.json | 97.60 kB |
Part 03_Convolutional Networks/Module 01_ConvNets/Lesson 03_CNNs in TensorFlow/data.json | 31.36 kB |
Part 03_Convolutional Networks/Module 01_ConvNets/Lesson 04_Weight Initialization/data.json | 8.19 kB |
Part 03_Convolutional Networks/Module 01_ConvNets/Lesson 05_Autoencoders/data.json | 9.04 kB |
Part 03_Convolutional Networks/Module 01_ConvNets/Lesson 06_Transfer Learning in TensorFlow/data.json | 11.94 kB |
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Part 06-Module 02-Lesson 03_Policy-Based Methods/07. Constrained Policy Gradients.html | 4.77 kB |
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Part 06-Module 02-Lesson 03_Policy-Based Methods/08. M2L3 08 V1-og3W6CXn1F0.en.vtt | 1.36 kB |
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Part 06-Module 02-Lesson 03_Policy-Based Methods/08. Recap.html | 4.72 kB |
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Part 06-Module 02-Lesson 04_Actor-Critic Methods/01. Actor-Critic Methods.html | 4.91 kB |
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Part 06-Module 02-Lesson 04_Actor-Critic Methods/04. The Actor and The Critic.html | 4.89 kB |
Part 06-Module 02-Lesson 04_Actor-Critic Methods/05. Advantage Function.html | 4.89 kB |
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Part 06-Module 02-Lesson 04_Actor-Critic Methods/index.html | 3.44 kB |
Part 06-Module 02-Lesson 05_Teach a Quadcopter How to Fly/01. Project Intro.html | 9.19 kB |
Part 06-Module 02-Lesson 05_Teach a Quadcopter How to Fly/02. Quadcopter workspace.html | 5.51 kB |
Part 06-Module 02-Lesson 05_Teach a Quadcopter How to Fly/03. Replay Buffer.html | 5.99 kB |
Part 06-Module 02-Lesson 05_Teach a Quadcopter How to Fly/04. DDPG Actor.html | 9.24 kB |
Part 06-Module 02-Lesson 05_Teach a Quadcopter How to Fly/05. DDPG Critic.html | 8.61 kB |
Part 06-Module 02-Lesson 05_Teach a Quadcopter How to Fly/06. DDPG Agent.html | 10.01 kB |
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Part 06-Module 02-Lesson 05_Teach a Quadcopter How to Fly/08. Troubleshooting.html | 8.24 kB |
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Part 06-Module 02-Lesson 05_Teach a Quadcopter How to Fly/Project Rubric - Teach a Quadcopter How to Fly.html | 7.61 kB |
Part 06_Deep Reinforcement Learning/Module 01_Reinforcement Learning/Lesson 01_Introduction to RL/data.json | 13.06 kB |
Part 06_Deep Reinforcement Learning/Module 01_Reinforcement Learning/Lesson 02_The RL Framework The Problem/data.json | 83.52 kB |
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Part 06_Deep Reinforcement Learning/Module 01_Reinforcement Learning/Lesson 04_Dynamic Programming/data.json | 93.96 kB |
Part 06_Deep Reinforcement Learning/Module 01_Reinforcement Learning/Lesson 05_Monte Carlo Methods/data.json | 82.32 kB |
Part 06_Deep Reinforcement Learning/Module 01_Reinforcement Learning/Lesson 06_Temporal-Difference Methods/data.json | 42.88 kB |
Part 06_Deep Reinforcement Learning/Module 01_Reinforcement Learning/Lesson 07_Solve OpenAI Gym's Taxi-v2 Task/data.json | 16.75 kB |
Part 06_Deep Reinforcement Learning/Module 02_Deep Reinforcement Learning/Lesson 01_RL in Continuous Spaces/data.json | 20.09 kB |
Part 06_Deep Reinforcement Learning/Module 02_Deep Reinforcement Learning/Lesson 02_Deep Q-Learning/data.json | 19.03 kB |
Part 06_Deep Reinforcement Learning/Module 02_Deep Reinforcement Learning/Lesson 03_Policy-Based Methods/data.json | 8.21 kB |
Part 06_Deep Reinforcement Learning/Module 02_Deep Reinforcement Learning/Lesson 04_Actor-Critic Methods/data.json | 7.50 kB |
Part 06_Deep Reinforcement Learning/Module 02_Deep Reinforcement Learning/Lesson 05_Teach a Quadcopter How to Fly/data.json | 35.00 kB |
Part 06_Deep Reinforcement Learning/Module 02_Deep Reinforcement Learning/Lesson 05_Teach a Quadcopter How to Fly/rubric.json | 5.97 kB |
Part 07-Module 01-Lesson 01_Enroll in your next Nanodegree program/01. Enroll in your next ND program.html | 7.26 kB |
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Part 07_Guaranteed Admission into your next Nanodegree/Module 01_Guaranteed Admission into your next Nanodegree/Lesson 01_Enroll in your next Nanodegree program/data.json | 5.51 kB |
Part 08-Module 01-Lesson 01_Evaluation Metrics/01. Intro.html | 5.26 kB |
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Part 08-Module 01-Lesson 02_Regression/04. Fitting a Line Through Data.html | 6.54 kB |
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Part 08-Module 02-Lesson 01_MiniFlow/03. MiniFlow Architecture.html | 9.71 kB |
Part 08-Module 02-Lesson 01_MiniFlow/04. Forward Propagation.html | 14.40 kB |
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Part 08-Module 02-Lesson 01_MiniFlow/07. Linear Transform.html | 18.87 kB |
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Part 08-Module 02-Lesson 01_MiniFlow/12. Backpropagation.html | 35.60 kB |
Part 08-Module 02-Lesson 01_MiniFlow/13. Stochastic Gradient Descent.html | 23.46 kB |
Part 08-Module 02-Lesson 01_MiniFlow/14. SGD Solution.html | 18.93 kB |
Part 08-Module 02-Lesson 01_MiniFlow/15. Outro.html | 5.66 kB |
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Part 08-Module 02-Lesson 01_MiniFlow/index.html | 3.91 kB |
Part 08-Module 02-Lesson 01_MiniFlow/media/input-to-output-2.mp4 | 172.03 kB |
Part 08_Additional Lessons/Module 01_Regression, Eval/Lesson 01_Evaluation Metrics/data.json | 27.13 kB |
Part 08_Additional Lessons/Module 01_Regression, Eval/Lesson 02_Regression/data.json | 72.27 kB |
Part 08_Additional Lessons/Module 02_Miniflow/Lesson 01_MiniFlow/data.json | 173.43 kB |
Presented By SaM.txt | 33.00 B |
Torrent Downloaded From GloDls.to.txt | 84.00 B |
[TGx]Downloaded from torrentgalaxy.org.txt | 524.00 B |