/1. Introduction and Outline/
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1. Outline - what did you learn previously, and what will you learn in this course.mp4
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15.1 MB
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1. Outline - what did you learn previously, and what will you learn in this course.vtt
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10.0 KB
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2. Where does this course fit into your deep learning studies.mp4
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6.3 MB
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2. Where does this course fit into your deep learning studies.vtt
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5.1 KB
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/10. Transition to the 2nd Half of the Course/
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1. Transition to the 2nd Half of the Course.mp4
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9.9 MB
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1. Transition to the 2nd Half of the Course.vtt
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6.0 KB
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/11. Project Facial Expression Recognition/
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1. Facial Expression Recognition Project Introduction.mp4
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10.3 MB
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1. Facial Expression Recognition Project Introduction.vtt
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5.8 KB
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2. Facial Expression Recognition Problem Description.mp4
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22.5 MB
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2. Facial Expression Recognition Problem Description.vtt
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14.7 KB
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3. The class imbalance problem.mp4
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10.6 MB
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3. The class imbalance problem.vtt
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7.3 KB
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4. Utilities walkthrough.mp4
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14.1 MB
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4. Utilities walkthrough.vtt
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5.4 KB
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5. Class-Based ANN in Theano.mp4
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46.1 MB
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5. Class-Based ANN in Theano.vtt
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13.7 KB
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6. Class-Based ANN in TensorFlow.mp4
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39.2 MB
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6. Class-Based ANN in TensorFlow.vtt
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11.8 KB
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7. Facial Expression Recognition Project Summary.mp4
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3.0 MB
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7. Facial Expression Recognition Project Summary.vtt
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1.5 KB
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/12. Modern Regularization Techniques/
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1. Modern Regularization Techniques Section Introduction.mp4
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4.5 MB
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1. Modern Regularization Techniques Section Introduction.vtt
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2.7 KB
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2. Dropout Regularization.mp4
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23.8 MB
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2. Dropout Regularization.vtt
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13.0 KB
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3. Dropout Intuition.mp4
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6.4 MB
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3. Dropout Intuition.vtt
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4.1 KB
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4. Noise Injection.mp4
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9.1 MB
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4. Noise Injection.vtt
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6.3 KB
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5. Modern Regularization Techniques Section Summary.mp4
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4.1 MB
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5. Modern Regularization Techniques Section Summary.vtt
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2.4 KB
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/13. Batch Normalization/
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1. Batch Normalization Introduction.mp4
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3.7 MB
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1. Batch Normalization Introduction.vtt
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2.3 KB
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2. Exponentially-Smoothed Averages.mp4
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7.7 MB
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2. Exponentially-Smoothed Averages.vtt
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4.9 KB
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3. Batch Normalization Theory.mp4
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19.5 MB
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3. Batch Normalization Theory.vtt
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12.7 KB
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4. Batch Normalization Tensorflow (part 1).mp4
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9.9 MB
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4. Batch Normalization Tensorflow (part 1).vtt
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6.1 KB
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5. Batch Normalization Tensorflow (part 2).mp4
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15.6 MB
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5. Batch Normalization Tensorflow (part 2).vtt
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6.1 KB
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6. Batch Normalization Theano (part 1).mp4
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8.0 MB
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6. Batch Normalization Theano (part 1).vtt
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4.9 KB
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7. Batch Normalization Theano (part 2).mp4
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17.3 MB
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7. Batch Normalization Theano (part 2).vtt
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7.1 KB
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8. Noise Perspective.mp4
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3.3 MB
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8. Noise Perspective.vtt
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2.3 KB
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9. Batch Normalization Summary.mp4
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2.7 MB
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9. Batch Normalization Summary.vtt
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1.9 KB
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/14. Keras/
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1. Keras Discussion.mp4
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11.8 MB
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1. Keras Discussion.vtt
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8.2 KB
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2. Keras in Code.mp4
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15.5 MB
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2. Keras in Code.vtt
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6.6 KB
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3. Keras Functional API.mp4
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40.5 MB
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3. Keras Functional API.vtt
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4.8 KB
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/15. PyTorch/
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1. PyTorch Basics.mp4
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122.5 MB
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1. PyTorch Basics.vtt
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13.2 KB
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2. PyTorch Dropout.mp4
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34.3 MB
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2. PyTorch Dropout.vtt
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2.7 KB
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3. PyTorch Batch Norm.mp4
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35.5 MB
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3. PyTorch Batch Norm.vtt
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2.7 KB
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/16. PyTorch, CNTK, and MXNet/
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1. PyTorch, CNTK, and MXNet.mp4
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1.4 MB
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1. PyTorch, CNTK, and MXNet.vtt
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0.9 KB
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/17. Appendix/
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1. What is the Appendix.mp4
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5.7 MB
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1. What is the Appendix.vtt
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3.4 KB
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10. Proof that using Jupyter Notebook is the same as not using it.mp4
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82.1 MB
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10. Proof that using Jupyter Notebook is the same as not using it.vtt
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12.5 KB
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11. How to Uncompress a .tar.gz file.mp4
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5.7 MB
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11. How to Uncompress a .tar.gz file.vtt
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3.8 KB
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12. Python 2 vs Python 3.mp4
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8.2 MB
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12. Python 2 vs Python 3.vtt
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5.5 KB
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13. What order should I take your courses in (part 1).mp4
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30.8 MB
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13. What order should I take your courses in (part 1).vtt
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14.4 KB
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14. What order should I take your courses in (part 2).mp4
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39.4 MB
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14. What order should I take your courses in (part 2).vtt
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20.7 KB
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2. What's the difference between neural networks and deep learning.mp4
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47.3 MB
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2. What's the difference between neural networks and deep learning.vtt
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9.1 KB
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3. Manually Choosing Learning Rate and Regularization Penalty.mp4
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8.1 MB
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3. Manually Choosing Learning Rate and Regularization Penalty.vtt
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5.1 KB
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4. Windows-Focused Environment Setup 2018.mp4
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195.4 MB
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4. Windows-Focused Environment Setup 2018.vtt
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17.8 KB
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5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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46.1 MB
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5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt
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12.7 KB
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6. How to Succeed in this Course (Long Version).mp4
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13.6 MB
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6. How to Succeed in this Course (Long Version).vtt
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13.2 KB
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7. How to Code by Yourself (part 1).mp4
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25.7 MB
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7. How to Code by Yourself (part 1).vtt
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20.3 KB
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8. How to Code by Yourself (part 2).mp4
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15.5 MB
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8. How to Code by Yourself (part 2).vtt
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11.9 KB
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9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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40.9 MB
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9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
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28.4 KB
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/2. Review/
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1. Review of Basic Concepts.mp4
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24.5 MB
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1. Review of Basic Concepts.vtt
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16.4 KB
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2. Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4
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11.7 MB
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2. Where to get the MNIST dataset and Establishing a Linear Benchmark.vtt
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4.3 KB
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/3. Gradient Descent Full vs Batch vs Stochastic/
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1. What are full, batch, and stochastic gradient descent.mp4
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6.1 MB
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1. What are full, batch, and stochastic gradient descent.vtt
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3.6 KB
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2. Full vs Batch vs Stochastic Gradient Descent in code.mp4
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14.7 MB
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2. Full vs Batch vs Stochastic Gradient Descent in code.vtt
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6.0 KB
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/4. Momentum and adaptive learning rates/
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1. Using Momentum to Speed Up Training.mp4
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11.2 MB
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1. Using Momentum to Speed Up Training.vtt
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7.0 KB
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2. Nesterov Momentum.mp4
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11.2 MB
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2. Nesterov Momentum.vtt
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6.9 KB
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3. Momentum in Code.mp4
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15.1 MB
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3. Momentum in Code.vtt
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5.6 KB
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4. Variable and adaptive learning rates.mp4
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19.8 MB
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4. Variable and adaptive learning rates.vtt
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13.5 KB
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5. Constant learning rate vs. RMSProp in Code.mp4
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11.5 MB
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5. Constant learning rate vs. RMSProp in Code.vtt
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3.9 KB
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6. Adam Optimization.mp4
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20.3 MB
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6. Adam Optimization.vtt
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12.2 KB
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7. Adam in Code.mp4
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14.6 MB
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7. Adam in Code.vtt
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6.1 KB
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/5. Choosing Hyperparameters/
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1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.mp4
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5.3 MB
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1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.vtt
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4.2 KB
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2. Sampling Logarithmically.mp4
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5.5 MB
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2. Sampling Logarithmically.vtt
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3.5 KB
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3. Grid Search in Code.mp4
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14.4 MB
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3. Grid Search in Code.vtt
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8.3 KB
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4. Modifying Grid Search.mp4
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2.3 MB
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4. Modifying Grid Search.vtt
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1.6 KB
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5. Random Search in Code.mp4
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8.3 MB
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5. Random Search in Code.vtt
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4.4 KB
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/6. Weight Initialization/
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1. Weight Initialization Section Introduction.mp4
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1.6 MB
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1. Weight Initialization Section Introduction.vtt
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1.1 KB
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2. Vanishing and Exploding Gradients.mp4
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10.5 MB
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2. Vanishing and Exploding Gradients.vtt
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7.1 KB
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3. Weight Initialization.mp4
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14.3 MB
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3. Weight Initialization.vtt
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9.3 KB
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4. Local vs. Global Minima.mp4
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5.4 MB
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4. Local vs. Global Minima.vtt
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3.2 KB
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5. Weight Initialization Section Summary.mp4
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2.8 MB
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5. Weight Initialization Section Summary.vtt
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1.9 KB
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/7. Theano/
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1. Theano Basics Variables, Functions, Expressions, Optimization.mp4
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20.3 MB
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1. Theano Basics Variables, Functions, Expressions, Optimization.vtt
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7.2 KB
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2. Building a neural network in Theano.mp4
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22.8 MB
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2. Building a neural network in Theano.vtt
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4.1 KB
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3. Is Theano Dead.mp4
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18.7 MB
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3. Is Theano Dead.vtt
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11.6 KB
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/8. TensorFlow/
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1. TensorFlow Basics Variables, Functions, Expressions, Optimization.mp4
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17.9 MB
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1. TensorFlow Basics Variables, Functions, Expressions, Optimization.vtt
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5.8 KB
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2. Building a neural network in TensorFlow.mp4
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25.0 MB
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2. Building a neural network in TensorFlow.vtt
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5.5 KB
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3. What is a Session (And more).mp4
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24.7 MB
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3. What is a Session (And more).vtt
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16.4 KB
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/9. GPU Speedup, Homework, and Other Misc Topics/
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1. Setting up a GPU Instance on Amazon Web Services.mp4
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26.9 MB
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1. Setting up a GPU Instance on Amazon Web Services.vtt
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4.3 KB
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2. Can Big Data be used to Speed Up Backpropagation.mp4
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5.5 MB
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2. Can Big Data be used to Speed Up Backpropagation.vtt
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3.9 KB
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3. Exercises and Concepts Still to be Covered.mp4
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4.7 MB
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3. Exercises and Concepts Still to be Covered.vtt
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2.7 KB
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4. How to Improve your Theano and Tensorflow Skills.mp4
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7.7 MB
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4. How to Improve your Theano and Tensorflow Skills.vtt
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5.5 KB
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5. Theano vs. TensorFlow.mp4
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9.6 MB
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5. Theano vs. TensorFlow.vtt
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7.7 KB
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/
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[FreeCourseLab.com].url
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0.1 KB
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Total files 155
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