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【影视】 [GigaCourse.com] Udemy - Deep Learning Advanced Computer Vision

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9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
7. Bonus Class Activation Maps/2. Class Activation Maps (Code).mp4 109.9 MB
8. Basics Review/2. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
9. Appendix FAQ/12. What order should I take your courses in (part 2).mp4 86.5 MB
8. Basics Review/1. (Review) Tensorflow Basics.mp4 85.5 MB
9. Appendix FAQ/7. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
8. Basics Review/4. (Review) Keras Neural Network in Code.mp4 69.4 MB
1. Welcome/2. Outline and Perspective.mp4 64.9 MB
9. Appendix FAQ/11. What order should I take your courses in (part 1).mp4 63.7 MB
7. Bonus Class Activation Maps/1. Class Activation Maps (Theory).mp4 56.0 MB
9. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
2. Review/1. Review of CNNs.mp4 42.8 MB
9. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
8. Basics Review/5. (Review) Keras Functional API.mp4 40.5 MB
3. VGG and Transfer Learning/3. Transfer Learning.mp4 40.0 MB
8. Basics Review/3. (Review) Keras Discussion.mp4 29.0 MB
5. Object Detection (SSD)/8. Modifying SSD to work on Video.mp4 26.0 MB
9. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. ResNet (and Inception)/1. ResNet Section Intro.mp4 23.4 MB
3. VGG and Transfer Learning/1. VGG Section Intro.mp4 22.3 MB

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【影视】 LINKEDIN.LEARNING.EXCEL.ONLINE-BiFiSO

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06.Creating Forms with Excel Online/0602.Building your form.mp4 7.2 MB
03.Working Seamlessly with Excel Online and Excel Desktop/0303.Preparing an existing Excel desktop workbook for Excel Online use.mp4 6.4 MB
04.Collaborating with Excel Online/0404.Preparing permissions and sharing in OneDrive.mp4 6.4 MB
03.Working Seamlessly with Excel Online and Excel Desktop/0304.Seamless integration between Excel desktop and Excel Online.mp4 5.2 MB
02.Getting to Know Excel Online/0202.Basic features of Excel Online.mp4 5.1 MB
04.Collaborating with Excel Online/0403.Preparing permissions and sharing in Excel Online.mp4 4.5 MB
01.Introduction/0101.Learn how to use Excel Online.mp4 4.3 MB
03.Working Seamlessly with Excel Online and Excel Desktop/0302.Using Excel Online desktop features.mp4 4.2 MB
02.Getting to Know Excel Online/0203.Using Excel Online shortcuts.mp4 4.2 MB
05.Charting in Excel Online/0501.Introduction to Excel Online charts.mp4 4.1 MB
05.Charting in Excel Online/0502.Chart tools.mp4 4.0 MB
02.Getting to Know Excel Online/0204.Version management.mp4 3.8 MB
03.Working Seamlessly with Excel Online and Excel Desktop/0301.Creating and saving a new Excel Online workbook.mp4 3.8 MB
05.Charting in Excel Online/0503.The value of structured data.mp4 3.7 MB
02.Getting to Know Excel Online/0201.Quick tour of Excel Online.mp4 3.7 MB
05.Charting in Excel Online/0504.Office Add-ins.mp4 3.4 MB
06.Creating Forms with Excel Online/0604.Viewing results.mp4 3.4 MB
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【影视】 [FreeCourseSite.com] Udemy - Deep Learning Recurrent Neural Networks in Python

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8. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.5 MB
7. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
7. Basics Review/1. (Review) Theano Basics.mp4 98.0 MB
7. Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.3 MB
7. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
8. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Recurrent Neural Networks for NLP/5. Generating Poetry in Code (part 1).mp4 55.0 MB
4. Advanced RNN Units/9. Learning from Wikipedia Data in Code (part 1).mp4 51.1 MB
3. Recurrent Neural Networks for NLP/8. Classifying Poetry in Code.mp4 48.1 MB
8. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
2. The Simple Recurrent Unit/6. The Parity Problem in Code using a Feedforward ANN.mp4 40.2 MB
8. Appendix/14. What order should I take your courses in (part 2).mp4 39.4 MB
2. The Simple Recurrent Unit/8. The Parity Problem in Code using a Recurrent Neural Network.mp4 39.3 MB
8. Appendix/13. What order should I take your courses in (part 1).mp4 30.8 MB
4. Advanced RNN Units/10. Learning from Wikipedia Data in Code (part 2).mp4 26.9 MB
4. Advanced RNN Units/2. RRNN in Code - Revisiting Poetry Generation.mp4 26.6 MB
8. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
2. The Simple Recurrent Unit/7. Theano Scan Tutorial.mp4 24.9 MB
4. Advanced RNN Units/11. Visualizing the Word Embeddings.mp4 24.6 MB

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【影视】 [DesireCourse.Net] Udemy - Cutting-Edge AI Deep Reinforcement Learning in Python

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6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).mp4 203.0 MB
3. A2C (Advantage Actor-Critic)/10. A2C.mp4 201.6 MB
6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 175.1 MB
5. ES (Evolution Strategies)/7. ES for Flappy Bird in Code.mp4 149.1 MB
3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4 134.8 MB
6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 129.0 MB
6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.2 MB
4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.mp4 115.8 MB
2. Review of Fundamental Reinforcement Learning Concepts/3. Markov Decision Processes (MDPs).mp4 113.9 MB
5. ES (Evolution Strategies)/2. ES Theory.mp4 113.5 MB
3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4 100.9 MB
6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 92.7 MB
6. Appendix FAQ/6. How to Code by Yourself (part 1).mp4 86.6 MB
4. DDPG (Deep Deterministic Policy Gradient)/3. DDPG Theory.mp4 84.6 MB
2. Review of Fundamental Reinforcement Learning Concepts/5. Temporal Difference Learning (TD).mp4 82.4 MB
6. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Review of Fundamental Reinforcement Learning Concepts/2. The Explore-Exploit Dilemma.mp4 75.1 MB
3. A2C (Advantage Actor-Critic)/7. Multiple Processes.mp4 73.5 MB
5. ES (Evolution Strategies)/8. ES for MuJoCo in Code.mp4 72.0 MB

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【影视】 Learning GitHub Actions

收录时间:2021-03-08 文档个数:143 文档大小:312.5 MB 最近下载:2025-05-15 人气:3693 磁力链接

[TutsNode.com] - Learning GitHub Actions/25 Solution Develop a workflow that creates an artifact.mp4 17.0 MB
[TutsNode.com] - Learning GitHub Actions/47 Solution Create a custom action.mp4 16.5 MB
[TutsNode.com] - Learning GitHub Actions/33 Solution Develop a CI CD pipeline for a Python script.mp4 16.2 MB
[TutsNode.com] - Learning GitHub Actions/16 Solution Develop a complex workflow.mp4 12.8 MB
[TutsNode.com] - Learning GitHub Actions/17 Use an action from the Marketplace.mp4 11.3 MB
[TutsNode.com] - Learning GitHub Actions/20 Using environment variables.mp4 10.7 MB
[TutsNode.com] - Learning GitHub Actions/19 Passing arguments to an action.mp4 10.3 MB
[TutsNode.com] - Learning GitHub Actions/39 Use runtime environment resources.mp4 10.2 MB
[TutsNode.com] - Learning GitHub Actions/22 Using artifacts.mp4 10.1 MB
[TutsNode.com] - Learning GitHub Actions/45 Publish an action to the Marketplace.mp4 9.9 MB
[TutsNode.com] - Learning GitHub Actions/07 Workflow and action attributes.mp4 9.3 MB
[TutsNode.com] - Learning GitHub Actions/21 Using secrets.mp4 9.1 MB
[TutsNode.com] - Learning GitHub Actions/36 Dockerfile review.mp4 8.8 MB
[TutsNode.com] - Learning GitHub Actions/23 Manage pull requests.mp4 8.4 MB
[TutsNode.com] - Learning GitHub Actions/34 Plan a custom action.mp4 8.3 MB
[TutsNode.com] - Learning GitHub Actions/10 Add actions to a workflow.mp4 8.1 MB
[TutsNode.com] - Learning GitHub Actions/40 Test an action locally.mp4 7.9 MB
[TutsNode.com] - Learning GitHub Actions/01 Automating with GitHub Actions.mp4 7.5 MB
[TutsNode.com] - Learning GitHub Actions/44 Deploy a custom action.mp4 7.1 MB
[TutsNode.com] - Learning GitHub Actions/28 Building and managing artifacts.mp4 7.0 MB

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【影视】 [FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science Bootcamp 2021

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5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
9. Scikit-learn Creating Machine Learning Models/41. Tuning Hyperparameters.mp4 184.3 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Feature Engineering.mp4 166.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
9. Scikit-learn Creating Machine Learning Models/48. Putting It All Together.mp4 157.9 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Turning Data Into Numbers.mp4 153.3 MB
5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
9. Scikit-learn Creating Machine Learning Models/16. Choosing The Right Model For Your Data.mp4 150.2 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/21. Feature Importance.mp4 149.2 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Preproccessing Our Data.mp4 146.1 MB
11. Milestone Project 1 Supervised Learning (Classification)/10. Finding Patterns 3.mp4 144.6 MB

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【影视】 [DesireCourse.Net] Udemy - Deep Learning with TensorFlow 2.0 [2020]

收录时间:2021-03-08 文档个数:304 文档大小:2.0 GB 最近下载:2025-02-21 人气:447 磁力链接

14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
13. Business case/4. Preprocessing the data.mp4 88.4 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 69.5 MB
13. Business case/9. Setting an early stopping mechanism.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
12. The MNIST example/6. Preprocess the data - shuffle and batch the data.mp4 43.6 MB
12. The MNIST example/10. Learning.mp4 42.9 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
3. Setting up the working environment/9. Installing TensorFlow 2.mp4 40.6 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
5. TensorFlow - An introduction/5. Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 36.4 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4 35.2 MB
5. TensorFlow - An introduction/1. TensorFlow outline.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
3. Setting up the working environment/2. Why Python and why Jupyter.mp4 33.6 MB
13. Business case/8. Learning and interpreting the result.mp4 32.7 MB

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【影视】 Python-Introduction to Data Science and Machine learning A-Z

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[TutsNode.com] - Python-Introduction to Data Science and Machine learning A-Z/1. Introduction/2. What is Data Science.mp4 275.7 MB
[TutsNode.com] - Python-Introduction to Data Science and Machine learning A-Z/8. Machine Learning/2. Presentation of Different algorithms.mp4 255.1 MB
[TutsNode.com] - Python-Introduction to Data Science and Machine learning A-Z/2. Basic Statstics knowledge/3. The basics of statistics part 2.mp4 202.3 MB
[TutsNode.com] - Python-Introduction to Data Science and Machine learning A-Z/2. Basic Statstics knowledge/7. The basics of statistics part 6.mp4 180.6 MB
[TutsNode.com] - Python-Introduction to Data Science and Machine learning A-Z/8. Machine Learning/4. Machine learning algorithms part 2.mp4 170.4 MB
[TutsNode.com] - Python-Introduction to Data Science and Machine learning A-Z/8. Machine Learning/1. Introduction to machine learning.mp4 138.4 MB
[TutsNode.com] - Python-Introduction to Data Science and Machine learning A-Z/2. Basic Statstics knowledge/1. The Basics of Data.mp4 130.4 MB
[TutsNode.com] - Python-Introduction to Data Science and Machine learning A-Z/2. Basic Statstics knowledge/5. The basics of statistics part 4.mp4 122.9 MB
[TutsNode.com] - Python-Introduction to Data Science and Machine learning A-Z/2. Basic Statstics knowledge/6. The basics of statistics part 5.mp4 120.4 MB
[TutsNode.com] - Python-Introduction to Data Science and Machine learning A-Z/2. Basic Statstics knowledge/2. The basics of statistics part 1.mp4 115.4 MB
[TutsNode.com] - Python-Introduction to Data Science and Machine learning A-Z/1. Introduction/1. Introduction.mp4 106.6 MB
[TutsNode.com] - Python-Introduction to Data Science and Machine learning A-Z/4. Python library Pandas/1. The Basics of Pandas.mp4 93.3 MB
[TutsNode.com] - Python-Introduction to Data Science and Machine learning A-Z/3. Python library NumPy/1. Introduction to Numpy.mp4 87.5 MB
[TutsNode.com] - Python-Introduction to Data Science and Machine learning A-Z/6. Python library Matplotlib/1. Introduction to Matplotlib.mp4 73.8 MB
[TutsNode.com] - Python-Introduction to Data Science and Machine learning A-Z/7. Python library Seaborn/1. Introduction to Seaborn.mp4 69.9 MB
[TutsNode.com] - Python-Introduction to Data Science and Machine learning A-Z/2. Basic Statstics knowledge/4. The basics of statistics part 3.mp4 69.5 MB
[TutsNode.com] - Python-Introduction to Data Science and Machine learning A-Z/8. Machine Learning/5. Machine learning algorithms part 3.mp4 66.6 MB
[TutsNode.com] - Python-Introduction to Data Science and Machine learning A-Z/5. Python library Scipy/1. The Basics of SciPy.mp4 65.8 MB
[TutsNode.com] - Python-Introduction to Data Science and Machine learning A-Z/6. Python library Matplotlib/3. Basics of matplotlib part 1.mp4 64.6 MB
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【影视】 michigan-deep-learning-for-computer-vision-2020

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Lecture 14 - Visualizing and Understanding-G1hGwHVykDU.mp4 208.9 MB
Lecture 11 - Training Neural Networks II-WUazOtlti0g.mp4 201.1 MB
Lecture 18 - Videos-A9D6NXBJdwU.mp4 200.5 MB
Lecture 20 - Generative Models II-igP03FXZqgo.mp4 196.4 MB
Lecture 15 - Object Detection-TB-fdISzpHQ.mp4 189.2 MB
Lecture 16 - Detection and Segmentation-9AyMR4IhSWQ.mp4 187.9 MB
Lecture 12 - Recurrent Networks-dUzLD91Sj-o.mp4 187.7 MB
Lecture 6 - Backpropagation-dB-u77Y5a6A.mp4 186.0 MB
Lecture 3 - Linear Classifiers-qcSEP17uKKY.mp4 180.1 MB
Lecture 8 - CNN Architectures-XaZIlVrIO-Q.mp4 174.3 MB
Lecture 17 - 3D Vision-S1_nCdLUQQ8.mp4 171.4 MB
Lecture 22 - Conclusion-s3Ky_Ls4YSY.mp4 170.3 MB
Lecture 19 - Generative Models I-Q3HU2vEhD5Y.mp4 168.7 MB
Lecture 2 - Image Classification-0nqvO3AM2Vw.mp4 168.2 MB
Lecture 21 - Reinforcement Learning-Qex3XzcFKP4.mp4 166.6 MB
Lecture 10 - Training Neural Networks I-lGbQlr1Ts7w.mp4 160.2 MB
Lecture 13 - Attention-YAgjfMR9R_M.mp4 160.0 MB
Lecture 9 - Hardware and Software-oXPX8GIOiU4.mp4 156.5 MB
Lecture 1 - Introduction to Deep Learning for Computer Vision-dJYGatp4SvA.mp4 152.7 MB
Lecture 7 - Convolutional Networks-ANyxBVxmdZ0.mp4 150.7 MB

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【影视】 [FreeCourseSite.com] Udemy - Modern Deep Learning in Python

收录时间:2021-03-08 文档个数:36 文档大小:514.7 MB 最近下载:2025-05-11 人气:703 磁力链接

09 Project Facial Expression Recognition/028 Class-Based ANN in Theano.mp4 46.1 MB
10 Appendix/031 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
09 Project Facial Expression Recognition/029 Class-Based ANN in TensorFlow.mp4 39.2 MB
07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
10 Appendix/032 How to Code by Yourself part 1.mp4 25.7 MB
06 TensorFlow/017 Building a neural network in TensorFlow.mp4 25.0 MB
08 Modern Regularization Techniques/023 Dropout Regularization.mp4 23.8 MB
05 Theano/015 Building a neural network in Theano.mp4 22.8 MB
09 Project Facial Expression Recognition/025 Facial Expression Recognition Problem Description.mp4 22.5 MB
05 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp4 20.3 MB
06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.9 MB
10 Appendix/033 How to Code by Yourself part 2.mp4 15.5 MB
03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 15.3 MB
02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 14.7 MB
04 Choosing Hyperparameters/012 Grid Search in Code.mp4 14.4 MB
09 Project Facial Expression Recognition/027 Utilities walkthrough.mp4 14.1 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.7 MB
03 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp4 11.5 MB
09 Project Facial Expression Recognition/026 The class imbalance problem.mp4 10.6 MB
07 GPU Speedup Homework and Other Misc Topics/022 Theano vs. TensorFlow.mp4 9.6 MB

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【影视】 Learning.to.Drive.2014.BRRip.x264.AC3.BGAUDiO-SiSO

收录时间:2021-03-08 文档个数:3 文档大小:992.2 MB 最近下载:2025-03-12 人气:796 磁力链接

Learning.to.Drive.2014.BRRip.x264.AC3.BGAUDiO-SiSO.mkv 985.6 MB
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【影视】 Learning.Modular.Synthesis.Arturia.Modular.V.TUTORIAL

收录时间:2021-03-08 文档个数:31 文档大小:902.4 MB 最近下载:2025-05-16 人气:1616 磁力链接

1. Running Modular V/3 Creating your first patch.mp4 67.3 MB
Introduction/1 Welcome.mp4 62.3 MB
3. Getting More Complex/8 Adding noise.mp4 39.9 MB
2. Basic Synthesis Techniques/4 Attack_decay_sustain_release (ADSR) envelopes.mp4 36.9 MB
2. Basic Synthesis Techniques/1 Using multiple oscillators (VCOs).mp4 36.7 MB
2. Basic Synthesis Techniques/5 The high-pass filter (HP VCF).mp4 35.6 MB
2. Basic Synthesis Techniques/2 The basic analog waveforms.mp4 35.0 MB
2. Basic Synthesis Techniques/6 Using the Filter Coupler (band pass and reject modes).mp4 34.1 MB
3. Getting More Complex/9 Sample and hold (S-H).mp4 33.6 MB
3. Getting More Complex/2 Frequency modulation (FM).mp4 32.6 MB
2. Basic Synthesis Techniques/7 The 2-pole multimode filter.mp4 31.7 MB
3. Getting More Complex/5 Amplitude and ring modulation (AM).mp4 31.2 MB
2. Basic Synthesis Techniques/8 Low-frequency oscillator (LFO) wave shapes.mp4 30.9 MB
1. Running Modular V/2 The user interface.mp4 30.5 MB
2. Basic Synthesis Techniques/3 The classic low-pass filter (LP VCF).mp4 30.2 MB
Introduction/2 Fundamental concept_ Harmonics and sound.mp4 29.1 MB
3. Getting More Complex/1 Oscillator sync.mp4 28.0 MB
3. Getting More Complex/11 Dual audio delay.mp4 27.3 MB
3. Getting More Complex/10 Trigger delay.mp4 26.3 MB
3. Getting More Complex/12 The chorus effect.mp4 24.3 MB

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【影视】 [Udemy] Deep Learning Course with Flutter & Python - Build 6 AI Apps (2020) [En]

收录时间:2021-03-08 文档个数:142 文档大小:4.1 GB 最近下载:2025-05-15 人气:1294 磁力链接

8. Sketch2Real GAN App/5. Saving User Sketch.mp4 194.5 MB
7. Image-To-Text NLP Algorithm/9. Live Camera Functionality - Part 2 & Finalizing.mp4 178.0 MB
8. Sketch2Real GAN App/8. Building our Neural Network.mp4 147.8 MB
7. Image-To-Text NLP Algorithm/8. Live Camera Functionality - Part 1.mp4 142.6 MB
8. Sketch2Real GAN App/13. Interacting with Flask & Debugging.mp4 142.3 MB
4. Flower Classifier/3. Setting up Home - Part 1.mp4 133.2 MB
8. Sketch2Real GAN App/12. Building a Flask Server to Deploy our Neural Network.mp4 122.6 MB
8. Sketch2Real GAN App/9. Going over Pix2Pix Algorithm & Training.mp4 115.8 MB
7. Image-To-Text NLP Algorithm/6. Fetching Response.mp4 115.4 MB
6. Sentiment Analysis NLP Algorithm/6. Set up functions for API in Flutter App.mp4 111.4 MB
4. Flower Classifier/8. Building our Neural Network & Exporting it.mp4 110.7 MB
8. Sketch2Real GAN App/3. Drawing functionality - Part 1.mp4 107.7 MB
6. Sentiment Analysis NLP Algorithm/7. Implement API in Flutter App & Finalizing.mp4 104.1 MB
3. Cat and Dog Classifier/6. Getting Dataset & Teachable Machine.mp4 101.0 MB
3. Cat and Dog Classifier/7. Adding TFLite functions in Flutter project.mp4 100.5 MB
5. Fruit & Vegetable Classifier/6. Building our Neural Network - Part 2.mp4 93.5 MB
7. Image-To-Text NLP Algorithm/7. Adding Logic & Testing API.mp4 92.4 MB
1. Introduction to Course/1. Course Introduction.mp4 86.2 MB
3. Cat and Dog Classifier/3. Importing assets & Configuring Project.mp4 83.5 MB
3. Cat and Dog Classifier/5. Setting up Home - Part 2.mp4 82.7 MB

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