[Tutorialsplanet NET] Udemy Modern Deep Learning in Python Torrent Download Locations

[Tutorialsplanet.NET] Udemy - Modern Deep Learning in Python
    1. Introduction and Outline
          1. Outline - what did you learn previously, and what will you learn in this course.mp4 -

          1. Outline - what did you learn previously, and what will you learn in this course.vtt -

          2. Where does this course fit into your deep learning studies.mp4 -

          2. Where does this course fit into your deep learning studies.vtt -

    10. Transition to the 2nd Half of the Course
          1. Transition to the 2nd Half of the Course.mp4 -

          1. Transition to the 2nd Half of the Course.vtt -

    11. Project Facial Expression Recognition
          1. Facial Expression Recognition Project Introduction.mp4 -

          1. Facial Expression Recognition Project Introduction.vtt -

          2. Facial Expression Recognition Problem Description.mp4 -

          2. Facial Expression Recognition Problem Description.vtt -

          3. The class imbalance problem.mp4 -

          3. The class imbalance problem.vtt -

          4. Utilities walkthrough.mp4 -

          4. Utilities walkthrough.vtt -

          5. Class-Based ANN in Theano.mp4 -

          5. Class-Based ANN in Theano.vtt -

          6. Class-Based ANN in TensorFlow.mp4 -

          6. Class-Based ANN in TensorFlow.vtt -

          7. Facial Expression Recognition Project Summary.mp4 -

          7. Facial Expression Recognition Project Summary.vtt -

    12. Modern Regularization Techniques
          1. Modern Regularization Techniques Section Introduction.mp4 -

          1. Modern Regularization Techniques Section Introduction.vtt -

          2. Dropout Regularization.mp4 -

          2. Dropout Regularization.vtt -

          3. Dropout Intuition.mp4 -

          3. Dropout Intuition.vtt -

          4. Noise Injection.mp4 -

          4. Noise Injection.vtt -

          5. Modern Regularization Techniques Section Summary.mp4 -

          5. Modern Regularization Techniques Section Summary.vtt -

    13. Batch Normalization
          1. Batch Normalization Introduction.mp4 -

          1. Batch Normalization Introduction.vtt -

          2. Exponentially-Smoothed Averages.mp4 -

          2. Exponentially-Smoothed Averages.vtt -

          3. Batch Normalization Theory.mp4 -

          3. Batch Normalization Theory.vtt -

          4. Batch Normalization Tensorflow (part 1).mp4 -

          4. Batch Normalization Tensorflow (part 1).vtt -

          5. Batch Normalization Tensorflow (part 2).mp4 -

          5. Batch Normalization Tensorflow (part 2).vtt -

          6. Batch Normalization Theano (part 1).mp4 -

          6. Batch Normalization Theano (part 1).vtt -

          7. Batch Normalization Theano (part 2).mp4 -

          7. Batch Normalization Theano (part 2).vtt -

          8. Noise Perspective.mp4 -

          8. Noise Perspective.vtt -

          9. Batch Normalization Summary.mp4 -

          9. Batch Normalization Summary.vtt -

    14. Keras
          1. Keras Discussion.mp4 -

          1. Keras Discussion.vtt -

          2. Keras in Code.mp4 -

          2. Keras in Code.vtt -

          3. Keras Functional API.mp4 -

          3. Keras Functional API.vtt -

    15. PyTorch
          1. PyTorch Basics.mp4 -

          1. PyTorch Basics.vtt -

          2. PyTorch Dropout.mp4 -

          2. PyTorch Dropout.vtt -

          3. PyTorch Batch Norm.mp4 -

          3. PyTorch Batch Norm.vtt -

    16. PyTorch, CNTK, and MXNet
          1. PyTorch, CNTK, and MXNet.mp4 -

          1. PyTorch, CNTK, and MXNet.vtt -

    17. Appendix
          1. What is the Appendix.mp4 -

          1. What is the Appendix.vtt -

          10. Proof that using Jupyter Notebook is the same as not using it.mp4 -

          10. Proof that using Jupyter Notebook is the same as not using it.vtt -

          11. How to Uncompress a .tar.gz file.mp4 -

          11. How to Uncompress a .tar.gz file.vtt -

          12. Python 2 vs Python 3.mp4 -

          12. Python 2 vs Python 3.vtt -

          13. What order should I take your courses in (part 1).mp4 -

          13. What order should I take your courses in (part 1).vtt -

          14. What order should I take your courses in (part 2).mp4 -

          14. What order should I take your courses in (part 2).vtt -

          2. What's the difference between neural networks and deep learning.mp4 -

          2. What's the difference between neural networks and deep learning.vtt -

          3. Manually Choosing Learning Rate and Regularization Penalty.mp4 -

          3. Manually Choosing Learning Rate and Regularization Penalty.vtt -

          4. Windows-Focused Environment Setup 2018.mp4 -

          4. Windows-Focused Environment Setup 2018.vtt -

          5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 -

          5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt -

          6. How to Succeed in this Course (Long Version).mp4 -

          6. How to Succeed in this Course (Long Version).vtt -

          7. How to Code by Yourself (part 1).mp4 -

          7. How to Code by Yourself (part 1).vtt -

          8. How to Code by Yourself (part 2).mp4 -

          8. How to Code by Yourself (part 2).vtt -

          9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 -

          9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt -

    2. Review
          1. Review of Basic Concepts.mp4 -

          1. Review of Basic Concepts.vtt -

          2. Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 -

          2. Where to get the MNIST dataset and Establishing a Linear Benchmark.vtt -

    3. Gradient Descent Full vs Batch vs Stochastic
          1. What are full, batch, and stochastic gradient descent.mp4 -

          1. What are full, batch, and stochastic gradient descent.vtt -

          2. Full vs Batch vs Stochastic Gradient Descent in code.mp4 -

          2. Full vs Batch vs Stochastic Gradient Descent in code.vtt -

    4. Momentum and adaptive learning rates
          1. Using Momentum to Speed Up Training.mp4 -

          1. Using Momentum to Speed Up Training.vtt -

          2. Nesterov Momentum.mp4 -

          2. Nesterov Momentum.vtt -

          3. Momentum in Code.mp4 -

          3. Momentum in Code.vtt -

          4. Variable and adaptive learning rates.mp4 -

          4. Variable and adaptive learning rates.vtt -

          5. Constant learning rate vs. RMSProp in Code.mp4 -

          5. Constant learning rate vs. RMSProp in Code.vtt -

          6. Adam Optimization.mp4 -

          6. Adam Optimization.vtt -

          7. Adam in Code.mp4 -

          7. Adam in Code.vtt -

    5. Choosing Hyperparameters
          1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.mp4 -

          1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.vtt -

          2. Sampling Logarithmically.mp4 -

          2. Sampling Logarithmically.vtt -

          3. Grid Search in Code.mp4 -

          3. Grid Search in Code.vtt -

          4. Modifying Grid Search.mp4 -

          4. Modifying Grid Search.vtt -

          5. Random Search in Code.mp4 -

          5. Random Search in Code.vtt -

    6. Weight Initialization
          1. Weight Initialization Section Introduction.mp4 -

          1. Weight Initialization Section Introduction.vtt -

          2. Vanishing and Exploding Gradients.mp4 -

          2. Vanishing and Exploding Gradients.vtt -

          3. Weight Initialization.mp4 -

          3. Weight Initialization.vtt -

          4. Local vs. Global Minima.mp4 -

          4. Local vs. Global Minima.vtt -

          5. Weight Initialization Section Summary.mp4 -

          5. Weight Initialization Section Summary.vtt -

    7. Theano
          1. Theano Basics Variables, Functions, Expressions, Optimization.mp4 -

          1. Theano Basics Variables, Functions, Expressions, Optimization.vtt -

          2. Building a neural network in Theano.mp4 -

          2. Building a neural network in Theano.vtt -

          3. Is Theano Dead.mp4 -

          3. Is Theano Dead.vtt -

    8. TensorFlow
          1. TensorFlow Basics Variables, Functions, Expressions, Optimization.mp4 -

          1. TensorFlow Basics Variables, Functions, Expressions, Optimization.vtt -

          2. Building a neural network in TensorFlow.mp4 -

          2. Building a neural network in TensorFlow.vtt -

          3. What is a Session (And more).mp4 -

          3. What is a Session (And more).vtt -

    9. GPU Speedup, Homework, and Other Misc Topics
          1. Setting up a GPU Instance on Amazon Web Services.mp4 -

          1. Setting up a GPU Instance on Amazon Web Services.vtt -

          2. Can Big Data be used to Speed Up Backpropagation.mp4 -

          2. Can Big Data be used to Speed Up Backpropagation.vtt -

          3. Exercises and Concepts Still to be Covered.mp4 -

          3. Exercises and Concepts Still to be Covered.vtt -