[FreeCourseLab.com] Udemy - Modern Deep Learning in Python

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  • 17. Appendix/4. Windows-Focused Environment Setup 2018.mp4 186.34 MB
    15. PyTorch/1. PyTorch Basics.mp4 116.8 MB
    17. Appendix/10. Proof that using Jupyter Notebook is the same as not using it.mp4 78.29 MB
    17. Appendix/2. What's the difference between neural networks and deep learning.mp4 45.12 MB
    11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp4 43.98 MB
    17. Appendix/5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.92 MB
    17. Appendix/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 38.96 MB
    14. Keras/3. Keras Functional API.mp4 38.63 MB
    17. Appendix/14. What order should I take your courses in (part 2).mp4 37.62 MB
    11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.mp4 37.39 MB
    15. PyTorch/3. PyTorch Batch Norm.mp4 33.85 MB
    15. PyTorch/2. PyTorch Dropout.mp4 32.69 MB
    17. Appendix/13. What order should I take your courses in (part 1).mp4 29.33 MB
    9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services.mp4 25.68 MB
    17. Appendix/7. How to Code by Yourself (part 1).mp4 24.54 MB
    8. TensorFlow/2. Building a neural network in TensorFlow.mp4 23.84 MB
    8. TensorFlow/3. What is a Session (And more).mp4 23.56 MB
    2. Review/1. Review of Basic Concepts.mp4 23.36 MB
    12. Modern Regularization Techniques/2. Dropout Regularization.mp4 22.7 MB
    7. Theano/2. Building a neural network in Theano.mp4 21.79 MB
    11. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 21.44 MB
    7. Theano/1. Theano Basics Variables, Functions, Expressions, Optimization.mp4 19.35 MB
    4. Momentum and adaptive learning rates/6. Adam Optimization.mp4 19.33 MB
    4. Momentum and adaptive learning rates/4. Variable and adaptive learning rates.mp4 18.92 MB
    13. Batch Normalization/3. Batch Normalization Theory.mp4 18.61 MB
    7. Theano/3. Is Theano Dead.mp4 17.81 MB
    8. TensorFlow/1. TensorFlow Basics Variables, Functions, Expressions, Optimization.mp4 17.11 MB
    13. Batch Normalization/7. Batch Normalization Theano (part 2).mp4 16.54 MB
    13. Batch Normalization/5. Batch Normalization Tensorflow (part 2).mp4 14.92 MB
    17. Appendix/8. How to Code by Yourself (part 2).mp4 14.81 MB
    14. Keras/2. Keras in Code.mp4 14.76 MB
    4. Momentum and adaptive learning rates/3. Momentum in Code.mp4 14.44 MB
    1. Introduction and Outline/1. Outline - what did you learn previously, and what will you learn in this course.mp4 14.43 MB
    3. Gradient Descent Full vs Batch vs Stochastic/2. Full vs Batch vs Stochastic Gradient Descent in code.mp4 13.99 MB
    4. Momentum and adaptive learning rates/7. Adam in Code.mp4 13.9 MB
    5. Choosing Hyperparameters/3. Grid Search in Code.mp4 13.77 MB
    6. Weight Initialization/3. Weight Initialization.mp4 13.6 MB
    11. Project Facial Expression Recognition/4. Utilities walkthrough.mp4 13.49 MB
    17. Appendix/6. How to Succeed in this Course (Long Version).mp4 12.99 MB
    14. Keras/1. Keras Discussion.mp4 11.25 MB
    2. Review/2. Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.12 MB
    4. Momentum and adaptive learning rates/5. Constant learning rate vs. RMSProp in Code.mp4 10.98 MB
    4. Momentum and adaptive learning rates/1. Using Momentum to Speed Up Training.mp4 10.67 MB
    4. Momentum and adaptive learning rates/2. Nesterov Momentum.mp4 10.64 MB
    11. Project Facial Expression Recognition/3. The class imbalance problem.mp4 10.11 MB
    6. Weight Initialization/2. Vanishing and Exploding Gradients.mp4 9.99 MB
    11. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp4 9.82 MB
    10. Transition to the 2nd Half of the Course/1. Transition to the 2nd Half of the Course.mp4 9.45 MB
    13. Batch Normalization/4. Batch Normalization Tensorflow (part 1).mp4 9.44 MB
    9. GPU Speedup, Homework, and Other Misc Topics/5. Theano vs. TensorFlow.mp4 9.14 MB
    12. Modern Regularization Techniques/4. Noise Injection.mp4 8.64 MB
    5. Choosing Hyperparameters/5. Random Search in Code.mp4 7.94 MB
    17. Appendix/12. Python 2 vs Python 3.mp4 7.83 MB
    17. Appendix/3. Manually Choosing Learning Rate and Regularization Penalty.mp4 7.77 MB
    13. Batch Normalization/6. Batch Normalization Theano (part 1).mp4 7.65 MB
    13. Batch Normalization/2. Exponentially-Smoothed Averages.mp4 7.38 MB
    9. GPU Speedup, Homework, and Other Misc Topics/4. How to Improve your Theano and Tensorflow Skills.mp4 7.33 MB
    12. Modern Regularization Techniques/3. Dropout Intuition.mp4 6.14 MB
    1. Introduction and Outline/2. Where does this course fit into your deep learning studies.mp4 6 MB
    3. Gradient Descent Full vs Batch vs Stochastic/1. What are full, batch, and stochastic gradient descent.mp4 5.83 MB
    17. Appendix/1. What is the Appendix.mp4 5.45 MB
    17. Appendix/11. How to Uncompress a .tar.gz file.mp4 5.43 MB
    5. Choosing Hyperparameters/2. Sampling Logarithmically.mp4 5.24 MB
    9. GPU Speedup, Homework, and Other Misc Topics/2. Can Big Data be used to Speed Up Backpropagation.mp4 5.22 MB
    6. Weight Initialization/4. Local vs. Global Minima.mp4 5.12 MB
    5. Choosing Hyperparameters/1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.mp4 5.1 MB
    9. GPU Speedup, Homework, and Other Misc Topics/3. Exercises and Concepts Still to be Covered.mp4 4.46 MB
    12. Modern Regularization Techniques/1. Modern Regularization Techniques Section Introduction.mp4 4.27 MB
    12. Modern Regularization Techniques/5. Modern Regularization Techniques Section Summary.mp4 3.88 MB
    13. Batch Normalization/1. Batch Normalization Introduction.mp4 3.51 MB
    13. Batch Normalization/8. Noise Perspective.mp4 3.15 MB
    11. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.mp4 2.91 MB
    6. Weight Initialization/5. Weight Initialization Section Summary.mp4 2.69 MB
    13. Batch Normalization/9. Batch Normalization Summary.mp4 2.6 MB
    5. Choosing Hyperparameters/4. Modifying Grid Search.mp4 2.18 MB
    6. Weight Initialization/1. Weight Initialization Section Introduction.mp4 1.52 MB
    16. PyTorch, CNTK, and MXNet/1. PyTorch, CNTK, and MXNet.mp4 1.31 MB
    17. Appendix/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 27.77 KB
    17. Appendix/14. What order should I take your courses in (part 2).vtt 20.24 KB
    17. Appendix/7. How to Code by Yourself (part 1).vtt 19.78 KB
    17. Appendix/4. Windows-Focused Environment Setup 2018.vtt 17.39 KB
    2. Review/1. Review of Basic Concepts.vtt 16.04 KB
    8. TensorFlow/3. What is a Session (And more).vtt 16.01 KB
    11. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.vtt 14.31 KB
    17. Appendix/13. What order should I take your courses in (part 1).vtt 14.09 KB
    11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.vtt 13.38 KB
    4. Momentum and adaptive learning rates/4. Variable and adaptive learning rates.vtt 13.2 KB
    15. PyTorch/1. PyTorch Basics.vtt 12.89 KB
    17. Appendix/6. How to Succeed in this Course (Long Version).vtt 12.86 KB
    12. Modern Regularization Techniques/2. Dropout Regularization.vtt 12.67 KB
    17. Appendix/5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 12.4 KB
    13. Batch Normalization/3. Batch Normalization Theory.vtt 12.37 KB
    17. Appendix/10. Proof that using Jupyter Notebook is the same as not using it.vtt 12.22 KB
    4. Momentum and adaptive learning rates/6. Adam Optimization.vtt 11.88 KB
    17. Appendix/8. How to Code by Yourself (part 2).vtt 11.62 KB
    11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.vtt 11.54 KB
    7. Theano/3. Is Theano Dead.vtt 11.3 KB
    1. Introduction and Outline/1. Outline - what did you learn previously, and what will you learn in this course.vtt 9.77 KB
    6. Weight Initialization/3. Weight Initialization.vtt 9.11 KB
    17. Appendix/2. What's the difference between neural networks and deep learning.vtt 8.91 KB
    5. Choosing Hyperparameters/3. Grid Search in Code.vtt 8.15 KB
    14. Keras/1. Keras Discussion.vtt 8.05 KB
    9. GPU Speedup, Homework, and Other Misc Topics/5. Theano vs. TensorFlow.vtt 7.47 KB
    11. Project Facial Expression Recognition/3. The class imbalance problem.vtt 7.16 KB
    7. Theano/1. Theano Basics Variables, Functions, Expressions, Optimization.vtt 7.03 KB
    13. Batch Normalization/7. Batch Normalization Theano (part 2).vtt 6.98 KB
    6. Weight Initialization/2. Vanishing and Exploding Gradients.vtt 6.95 KB
    4. Momentum and adaptive learning rates/1. Using Momentum to Speed Up Training.vtt 6.86 KB
    4. Momentum and adaptive learning rates/2. Nesterov Momentum.vtt 6.75 KB
    14. Keras/2. Keras in Code.vtt 6.46 KB
    12. Modern Regularization Techniques/4. Noise Injection.vtt 6.15 KB
    4. Momentum and adaptive learning rates/7. Adam in Code.vtt 5.97 KB
    13. Batch Normalization/5. Batch Normalization Tensorflow (part 2).vtt 5.92 KB
    13. Batch Normalization/4. Batch Normalization Tensorflow (part 1).vtt 5.92 KB
    10. Transition to the 2nd Half of the Course/1. Transition to the 2nd Half of the Course.vtt 5.83 KB
    3. Gradient Descent Full vs Batch vs Stochastic/2. Full vs Batch vs Stochastic Gradient Descent in code.vtt 5.81 KB
    11. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.vtt 5.69 KB
    8. TensorFlow/1. TensorFlow Basics Variables, Functions, Expressions, Optimization.vtt 5.65 KB
    4. Momentum and adaptive learning rates/3. Momentum in Code.vtt 5.49 KB
    9. GPU Speedup, Homework, and Other Misc Topics/4. How to Improve your Theano and Tensorflow Skills.vtt 5.42 KB
    8. TensorFlow/2. Building a neural network in TensorFlow.vtt 5.39 KB
    17. Appendix/12. Python 2 vs Python 3.vtt 5.35 KB
    11. Project Facial Expression Recognition/4. Utilities walkthrough.vtt 5.24 KB
    17. Appendix/3. Manually Choosing Learning Rate and Regularization Penalty.vtt 5.03 KB
    1. Introduction and Outline/2. Where does this course fit into your deep learning studies.vtt 5.02 KB
    13. Batch Normalization/6. Batch Normalization Theano (part 1).vtt 4.82 KB
    13. Batch Normalization/2. Exponentially-Smoothed Averages.vtt 4.8 KB
    14. Keras/3. Keras Functional API.vtt 4.7 KB
    5. Choosing Hyperparameters/5. Random Search in Code.vtt 4.27 KB
    9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services.vtt 4.2 KB
    2. Review/2. Where to get the MNIST dataset and Establishing a Linear Benchmark.vtt 4.19 KB
    5. Choosing Hyperparameters/1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.vtt 4.08 KB
    12. Modern Regularization Techniques/3. Dropout Intuition.vtt 4.02 KB
    7. Theano/2. Building a neural network in Theano.vtt 3.96 KB
    9. GPU Speedup, Homework, and Other Misc Topics/2. Can Big Data be used to Speed Up Backpropagation.vtt 3.86 KB
    4. Momentum and adaptive learning rates/5. Constant learning rate vs. RMSProp in Code.vtt 3.79 KB
    17. Appendix/11. How to Uncompress a .tar.gz file.vtt 3.66 KB
    3. Gradient Descent Full vs Batch vs Stochastic/1. What are full, batch, and stochastic gradient descent.vtt 3.54 KB
    5. Choosing Hyperparameters/2. Sampling Logarithmically.vtt 3.39 KB
    17. Appendix/1. What is the Appendix.vtt 3.28 KB
    6. Weight Initialization/4. Local vs. Global Minima.vtt 3.09 KB
    12. Modern Regularization Techniques/1. Modern Regularization Techniques Section Introduction.vtt 2.67 KB
    9. GPU Speedup, Homework, and Other Misc Topics/3. Exercises and Concepts Still to be Covered.vtt 2.64 KB
    15. PyTorch/2. PyTorch Dropout.vtt 2.62 KB
    15. PyTorch/3. PyTorch Batch Norm.vtt 2.61 KB
    12. Modern Regularization Techniques/5. Modern Regularization Techniques Section Summary.vtt 2.36 KB
    13. Batch Normalization/1. Batch Normalization Introduction.vtt 2.23 KB
    13. Batch Normalization/8. Noise Perspective.vtt 2.22 KB
    13. Batch Normalization/9. Batch Normalization Summary.vtt 1.87 KB
    6. Weight Initialization/5. Weight Initialization Section Summary.vtt 1.86 KB
    5. Choosing Hyperparameters/4. Modifying Grid Search.vtt 1.55 KB
    11. Project Facial Expression Recognition/7. Facial Expression Recognition Project Summary.vtt 1.47 KB
    6. Weight Initialization/1. Weight Initialization Section Introduction.vtt 1.06 KB
    16. PyTorch, CNTK, and MXNet/1. PyTorch, CNTK, and MXNet.vtt 947 B
    [FreeCourseLab.com].url 126 B

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