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fileUDEMY-Deep-Learning-Prer-1v7cX

UDEMY Deep Learning Prerequisites Linear Regression Python FTU
  • MP41. Welcome\/1. Welcome.mp432.00MB
  • MP41. Welcome\/2. Introduction and Outline.mp428.40MB
  • MP41. Welcome\/3. What is chine learning How does linear regression play a role.mp48.44MB
  • MP41. Welcome\/4. Introduction to Moore\s Law Problem.mp44.42MB
  • MP41. Welcome\/6. How to Succeed in this Course.mp43.31MB
  • MP42. 1-D Linear Regression Theory and Code\/1. Define the model in 1-D derive the solution (Updated Version).mp419.34MB
  • MP42. 1-D Linear Regression Theory and Code\/2. Define the model in 1-D derive the solution.mp424.67MB
  • MP42. 1-D Linear Regression Theory and Code\/3. Coding the 1-D solution in Python.mp414.44MB
  • MP42. 1-D Linear Regression Theory and Code\/4. Exercise Theory vs. Code.mp41.05MB
  • MP42. 1-D Linear Regression Theory and Code\/5. Determine how good the model is - r-squared.mp411.31MB
  • MP42. 1-D Linear Regression Theory and Code\/6. R-squared in code.mp44.50MB
  • MP42. 1-D Linear Regression Theory and Code\/7. Demonstrating Moore\s Law in Code.mp417.50MB
  • MP42. 1-D Linear Regression Theory and Code\/8. R-squared Quiz 1.mp42.80MB
  • MP43. Multiple linear regression and polynomial regression\/1. Define the multi-dimensional problem and derive the solution (Updated Version).mp414.43MB
  • MP43. Multiple linear regression and polynomial regression\/2. Define the multi-dimensional problem and derive the solution.mp436.08MB
  • MP43. Multiple linear regression and polynomial regression\/3. How to solve multiple linear regression using only trices.mp43.10MB
  • MP43. Multiple linear regression and polynomial regression\/4. Coding the multi-dimensional solution in Python.mp414.91MB
  • MP43. Multiple linear regression and polynomial regression\/5. Polynomial regression - extending linear regression (with Python code).mp416.40MB
  • MP43. Multiple linear regression and polynomial regression\/6. Predicting Systolic Blood Pressure from Age and Weight.mp412.35MB
  • MP43. Multiple linear regression and polynomial regression\/7. R-squared Quiz 2.mp43.50MB
  • MP44. Practical chine learning issues\/10. The Dummy Variable Trap.mp46.08MB
  • MP44. Practical chine learning issues\/11. Gradient Descent Tutorial.mp422.80MB
  • MP44. Practical chine learning issues\/12. Gradient Descent for Linear Regression.mp43.50MB
  • MP44. Practical chine learning issues\/13. Bypass the Dummy Variable Trap with Gradient Descent.mp48.51MB
  • MP44. Practical chine learning issues\/14. L1 Regularization - Theory.mp44.66MB
  • MP44. Practical chine learning issues\/15. L1 Regularization - Code.mp48.27MB
  • MP44. Practical chine learning issues\/16. L1 vs L2 Regularization.mp44.80MB
  • MP44. Practical chine learning issues\/1. What do all these letters mean.mp49.63MB
  • MP44. Practical chine learning issues\/2. Interpreting the Weights.mp46.05MB
  • MP44. Practical chine learning issues\/3. Generalization error train and test sets.mp44.39MB
  • MP44. Practical chine learning issues\/4. Generalization and Overfitting Demonstration in Code.mp417.26MB
  • MP44. Practical chine learning issues\/5. Categorical inputs.mp48.19MB
  • MP44. Practical chine learning issues\/6. One-Hot Encoding Quiz.mp43.77MB
  • MP44. Practical chine learning issues\/7. Probabilistic Interpretation of Squared Error.mp48.14MB
  • MP44. Practical chine learning issues\/8. L2 Regularization - Theory.mp46.66MB
  • MP44. Practical chine learning issues\/9. L2 Regularization - Code.mp48.09MB
  • MP45. Conclusion and Next Steps\/1. Brief overview of advanced linear regression and chine learning ics.mp48.13MB
  • MP45. Conclusion and Next Steps\/2. Exercises practice and how to get good at this.mp47.17MB
  • MP46. Appendix\/10. What order should I take your courses in (part 1).mp429.32MB
  • MP46. Appendix\/11. What order should I take your courses in (part 2).mp481.67MB
  • VTT6. Appendix\/11. What order should I take your courses in (part 2).vtt37.65MB
  • MP46. Appendix\/12. Python 2 vs Python 3.mp416.89MB
  • MP46. Appendix\/1. What is the Appendix.mp45.46MB
  • MP46. Appendix\/2. BONUS Where to get Udemy coupons and FREE deep learning terial.mp44.03MB
  • MP46. Appendix\/3. Windows-Focused Environment Setup 2018.mp4186.29MB
  • MP46. Appendix\/4. How to install Numpy Scipy tplotlib Pandas IPython Theano and TensorFlow.mp443.92MB
  • MP46. Appendix\/5. How to Code by Yourself (part 1).mp424.54MB
  • MP46. Appendix\/6. How to Code by Yourself (part 2).mp414.81MB
  • MP46. Appendix\/7. How to Succeed in this Course (Long Version).mp418.32MB
  • MP46. Appendix\/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.96MB
  • MP46. Appendix\/9. Proof that using Jupyter Notebook is the same as not using it.mp478.29MB
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