Udemy - Modern Deep Learning In Python [TP]

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Udemy - Modern Deep Learning In Python [TP]

Torrent Contents Size: 1.45 GB

Udemy - Modern Deep Learning In Python [TP]
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1. Introduction and Outline
1. Outline - what did you learn previously, and what will you learn in this course.mp4
MP4
14.43 MB
1. Outline - what did you learn previously, and what will you learn in this course.vtt
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9.77 KB
2. Where does this course fit into your deep learning studies.mp4
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6 MB
2. Where does this course fit into your deep learning studies.vtt
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5.02 KB
10. Transition to the 2nd Half of the Course
1. Transition to the 2nd Half of the Course.mp4
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9.45 MB
1. Transition to the 2nd Half of the Course.vtt
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5.83 KB
11. Project Facial Expression Recognition
1. Facial Expression Recognition Project Introduction.mp4
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9.82 MB
1. Facial Expression Recognition Project Introduction.vtt
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5.69 KB
2. Facial Expression Recognition Problem Description.mp4
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21.44 MB
2. Facial Expression Recognition Problem Description.vtt
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14.31 KB
3. The class imbalance problem.mp4
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10.11 MB
3. The class imbalance problem.vtt
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7.16 KB
4. Utilities walkthrough.mp4
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13.49 MB
4. Utilities walkthrough.vtt
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5.24 KB
5. Class-Based ANN in Theano.mp4
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43.98 MB
5. Class-Based ANN in Theano.vtt
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13.38 KB
6. Class-Based ANN in TensorFlow.mp4
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37.39 MB
6. Class-Based ANN in TensorFlow.vtt
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11.54 KB
7. Facial Expression Recognition Project Summary.mp4
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2.91 MB
7. Facial Expression Recognition Project Summary.vtt
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1.47 KB
12. Modern Regularization Techniques
1. Modern Regularization Techniques Section Introduction.mp4
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4.27 MB
1. Modern Regularization Techniques Section Introduction.vtt
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2.67 KB
2. Dropout Regularization.mp4
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22.7 MB
2. Dropout Regularization.vtt
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12.67 KB
3. Dropout Intuition.mp4
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6.14 MB
3. Dropout Intuition.vtt
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4.02 KB
4. Noise Injection.mp4
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8.64 MB
4. Noise Injection.vtt
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6.15 KB
5. Modern Regularization Techniques Section Summary.mp4
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3.88 MB
5. Modern Regularization Techniques Section Summary.vtt
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2.36 KB
13. Batch Normalization
1. Batch Normalization Introduction.mp4
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3.51 MB
1. Batch Normalization Introduction.vtt
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2.23 KB
2. Exponentially-Smoothed Averages.mp4
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7.38 MB
2. Exponentially-Smoothed Averages.vtt
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4.8 KB
3. Batch Normalization Theory.mp4
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18.61 MB
3. Batch Normalization Theory.vtt
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12.37 KB
4. Batch Normalization Tensorflow (part 1).mp4
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9.44 MB
4. Batch Normalization Tensorflow (part 1).vtt
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5.92 KB
5. Batch Normalization Tensorflow (part 2).mp4
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14.92 MB
5. Batch Normalization Tensorflow (part 2).vtt
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5.92 KB
6. Batch Normalization Theano (part 1).mp4
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7.65 MB
6. Batch Normalization Theano (part 1).vtt
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4.82 KB
7. Batch Normalization Theano (part 2).mp4
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16.54 MB
7. Batch Normalization Theano (part 2).vtt
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6.98 KB
8. Noise Perspective.mp4
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3.15 MB
8. Noise Perspective.vtt
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2.22 KB
9. Batch Normalization Summary.mp4
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2.6 MB
9. Batch Normalization Summary.vtt
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1.87 KB
14. Keras
1. Keras Discussion.mp4
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11.25 MB
1. Keras Discussion.vtt
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8.05 KB
2. Keras in Code.mp4
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14.76 MB
2. Keras in Code.vtt
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6.46 KB
3. Keras Functional API.mp4
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38.63 MB
3. Keras Functional API.vtt
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4.7 KB
15. PyTorch
1. PyTorch Basics.mp4
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116.8 MB
1. PyTorch Basics.vtt
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12.89 KB
2. PyTorch Dropout.mp4
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32.69 MB
2. PyTorch Dropout.vtt
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2.62 KB
3. PyTorch Batch Norm.mp4
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33.85 MB
3. PyTorch Batch Norm.vtt
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2.61 KB
16. PyTorch, CNTK, and MXNet
1. PyTorch, CNTK, and MXNet.mp4
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1.31 MB
1. PyTorch, CNTK, and MXNet.vtt
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947 B
17. Appendix
1. What is the Appendix.mp4
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5.45 MB
1. What is the Appendix.vtt
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3.28 KB
10. Proof that using Jupyter Notebook is the same as not using it.mp4
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78.29 MB
10. Proof that using Jupyter Notebook is the same as not using it.vtt
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12.22 KB
11. How to Uncompress a .tar.gz file.mp4
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5.43 MB
11. How to Uncompress a .tar.gz file.vtt
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3.66 KB
12. Python 2 vs Python 3.mp4
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7.83 MB
12. Python 2 vs Python 3.vtt
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5.35 KB
13. What order should I take your courses in (part 1).mp4
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29.33 MB
13. What order should I take your courses in (part 1).vtt
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14.09 KB
14. What order should I take your courses in (part 2).mp4
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37.62 MB
14. What order should I take your courses in (part 2).vtt
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20.24 KB
2. What's the difference between neural networks and deep learning.mp4
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45.12 MB
2. What's the difference between neural networks and deep learning.vtt
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8.91 KB
3. Manually Choosing Learning Rate and Regularization Penalty.mp4
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7.77 MB
3. Manually Choosing Learning Rate and Regularization Penalty.vtt
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5.03 KB
4. Windows-Focused Environment Setup 2018.mp4
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186.34 MB
4. Windows-Focused Environment Setup 2018.vtt
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17.39 KB
5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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43.92 MB
5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt
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12.4 KB
6. How to Succeed in this Course (Long Version).mp4
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12.99 MB
6. How to Succeed in this Course (Long Version).vtt
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12.86 KB
7. How to Code by Yourself (part 1).mp4
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24.54 MB
7. How to Code by Yourself (part 1).vtt
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19.78 KB
8. How to Code by Yourself (part 2).mp4
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14.81 MB
8. How to Code by Yourself (part 2).vtt
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11.62 KB
9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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38.96 MB
9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
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27.77 KB
2. Review
1. Review of Basic Concepts.mp4
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23.36 MB
1. Review of Basic Concepts.vtt
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16.04 KB
2. Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4
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11.12 MB
2. Where to get the MNIST dataset and Establishing a Linear Benchmark.vtt
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4.19 KB
3. Gradient Descent Full vs Batch vs Stochastic
1. What are full, batch, and stochastic gradient descent.mp4
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5.83 MB
1. What are full, batch, and stochastic gradient descent.vtt
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3.54 KB
2. Full vs Batch vs Stochastic Gradient Descent in code.mp4
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13.99 MB
2. Full vs Batch vs Stochastic Gradient Descent in code.vtt
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5.81 KB
4. Momentum and adaptive learning rates
1. Using Momentum to Speed Up Training.mp4
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10.67 MB
1. Using Momentum to Speed Up Training.vtt
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6.86 KB
2. Nesterov Momentum.mp4
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10.64 MB
2. Nesterov Momentum.vtt
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6.75 KB
3. Momentum in Code.mp4
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14.44 MB
3. Momentum in Code.vtt
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5.49 KB
4. Variable and adaptive learning rates.mp4
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18.92 MB
4. Variable and adaptive learning rates.vtt
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13.2 KB
5. Constant learning rate vs. RMSProp in Code.mp4
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10.98 MB
5. Constant learning rate vs. RMSProp in Code.vtt
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3.79 KB
6. Adam Optimization.mp4
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19.33 MB
6. Adam Optimization.vtt
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11.88 KB
7. Adam in Code.mp4
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13.9 MB
7. Adam in Code.vtt
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5.97 KB
5. Choosing Hyperparameters
1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.mp4
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5.1 MB
1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.vtt
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4.08 KB
2. Sampling Logarithmically.mp4
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5.24 MB
2. Sampling Logarithmically.vtt
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3.39 KB
3. Grid Search in Code.mp4
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13.77 MB
3. Grid Search in Code.vtt
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8.15 KB
4. Modifying Grid Search.mp4
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2.18 MB
4. Modifying Grid Search.vtt
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1.55 KB
5. Random Search in Code.mp4
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7.94 MB
5. Random Search in Code.vtt
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4.27 KB
6. Weight Initialization
1. Weight Initialization Section Introduction.mp4
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1.52 MB
1. Weight Initialization Section Introduction.vtt
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1.06 KB
2. Vanishing and Exploding Gradients.mp4
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9.99 MB
2. Vanishing and Exploding Gradients.vtt
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6.95 KB
3. Weight Initialization.mp4
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13.6 MB
3. Weight Initialization.vtt
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9.11 KB
4. Local vs. Global Minima.mp4
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5.12 MB
4. Local vs. Global Minima.vtt
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3.09 KB
5. Weight Initialization Section Summary.mp4
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2.69 MB
5. Weight Initialization Section Summary.vtt
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1.86 KB
7. Theano
1. Theano Basics Variables, Functions, Expressions, Optimization.mp4
MP4
19.35 MB
1. Theano Basics Variables, Functions, Expressions, Optimization.vtt
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7.03 KB
2. Building a neural network in Theano.mp4
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21.79 MB
2. Building a neural network in Theano.vtt
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3.96 KB
3. Is Theano Dead.mp4
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17.81 MB
3. Is Theano Dead.vtt
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11.3 KB
8. TensorFlow
1. TensorFlow Basics Variables, Functions, Expressions, Optimization.mp4
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17.11 MB
1. TensorFlow Basics Variables, Functions, Expressions, Optimization.vtt
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5.65 KB
2. Building a neural network in TensorFlow.mp4
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23.84 MB
2. Building a neural network in TensorFlow.vtt
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5.39 KB
3. What is a Session (And more).mp4
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23.56 MB
3. What is a Session (And more).vtt
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16.01 KB
9. GPU Speedup, Homework, and Other Misc Topics
1. Setting up a GPU Instance on Amazon Web Services.mp4
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25.68 MB
1. Setting up a GPU Instance on Amazon Web Services.vtt
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4.2 KB
2. Can Big Data be used to Speed Up Backpropagation.mp4
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5.22 MB
2. Can Big Data be used to Speed Up Backpropagation.vtt
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3.86 KB
3. Exercises and Concepts Still to be Covered.mp4
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4.46 MB
3. Exercises and Concepts Still to be Covered.vtt
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2.64 KB
4. How to Improve your Theano and Tensorflow Skills.mp4
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7.33 MB
4. How to Improve your Theano and Tensorflow Skills.vtt
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5.42 KB
5. Theano vs. TensorFlow.mp4
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9.14 MB
5. Theano vs. TensorFlow.vtt
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7.47 KB
[Tutorialsplanet.NET].url
URL
128 B

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