Udemy - Data Science: Deep Learning in Python

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[FreeCourseLab.com] Udemy - Data Science Deep Learning in Python 1. Welcome
  • 1. Introduction and Outline.mp4 (6.1 MB)
  • 1. Introduction and Outline.vtt (6.2 KB)
  • 2. Where does this course fit into your deep learning studies.mp4 (54.1 MB)
  • 2. Where does this course fit into your deep learning studies.vtt (14.3 KB)
  • 3. Where to get the code.mp4 (23.4 MB)
  • 3. Where to get the code.vtt (5.7 KB)
  • 4. How to Succeed in this Course.mp4 (17.4 MB)
  • 4. How to Succeed in this Course.vtt (3.7 KB)
10. Appendix
  • 1. What is the Appendix.mp4 (5.5 MB)
  • 1. What is the Appendix.vtt (3.4 KB)
  • 10. How to Uncompress a .tar.gz file.mp4 (5.4 MB)
  • 10. How to Uncompress a .tar.gz file.vtt (3.9 KB)
  • 11. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 (4.0 MB)
  • 11. BONUS Where to get Udemy coupons and FREE deep learning material.vtt (3.3 KB)
  • 12. Python 2 vs Python 3.mp4 (7.8 MB)
  • 12. Python 2 vs Python 3.vtt (5.9 KB)
  • 13. Where does this course fit into your deep learning studies (Old Version).mp4 (8.5 MB)
  • 13. Where does this course fit into your deep learning studies (Old Version).vtt (7.4 KB)
  • 14. What order should I take your courses in (part 1).mp4 (29.3 MB)
  • 14. What order should I take your courses in (part 1).vtt (15.2 KB)
  • 15. What order should I take your courses in (part 2).mp4 (37.6 MB)
  • 15. What order should I take your courses in (part 2).vtt (22.3 KB)
  • 2. What's the difference between neural networks and deep learning.mp4 (14.8 MB)
  • 2. What's the difference between neural networks and deep learning.vtt (9.7 KB)
  • 3. Windows-Focused Environment Setup 2018.mp4 (186.4 MB)
  • 3. Windows-Focused Environment Setup 2018.vtt (18.9 KB)
  • 4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 (43.9 MB)
  • 4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt (14.0 KB)
  • 5. How to Code by Yourself (part 1).mp4 (24.5 MB)
  • 5. How to Code by Yourself (part 1).vtt (21.3 KB)
  • 6. How to Code by Yourself (part 2).mp4 (14.8 MB)
  • 6. How to Code by Yourself (part 2).vtt (12.4 KB)
  • 7. How to Succeed in this Course (Long Version).mp4 (13.0 MB)
  • 7. How to Succeed in this Course (Long Version).vtt (13.7 KB)
  • 8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 (39.0 MB)
  • 8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt (29.9 KB)
  • 9. Proof that using Jupyter Notebook is the same as not using it.mp4 (78.3 MB)
  • 9. Proof that using Jupyter Notebook is the same as not using it.vtt (13.2 KB)
2. Review
  • 1. Review Section Introduction.mp4 (12.5 MB)
  • 1. Review Section Introduction.vtt (2.6 KB)
  • 2. What does machine learning do.mp4 (25.6 MB)
  • 2. What does machine learning do.vtt (7.2 KB)
  • 3. Neuron Predictions.mp4 (24.5 MB)
  • 3. Neuron Predictions.vtt (5.6 KB)
  • 4. Neuron Training.mp4 (38.5 MB)
  • 4. Neuron Training.vtt (10.9 KB)
  • 5. Deep Learning Readiness Test.mp4 (8.6 MB)
  • 5. Deep Learning Readiness Test.vtt (7.5 KB)
  • 6. Review Section Summary.mp4 (14.0 MB)
  • 6. Review Section Summary.vtt (4.9 KB)
3. Preliminaries From Neurons to Neural Networks
  • 1. Neural Networks with No Math.mp4 (7.3 MB)
  • 1. Neural Networks with No Math.vtt (6.5 KB)
  • 2. Introduction to the E-Commerce Course Project.mp4 (14.8 MB)
  • 2. Introduction to the E-Commerce Course Project.vtt (13.2 KB)
4. Classifying more than 2 things at a time
  • 1. Prediction Section Introduction and Outline.mp4 (9.0 MB)
  • 1. Prediction Section Introduction and Outline.vtt (7.7 KB)
  • 10. Building an entire feedforward neural network in Python.mp4 (13.9 MB)
  • 10. Building an entire feedforward neural network in Python.vtt (5.1 KB)
  • 11. E-Commerce Course Project Pre-Processing the Data.mp4 (11.2 MB)
  • 11. E-Commerce Course Project Pre-Processing the Data.vtt (5.3 KB)
  • 12. E-Commerce Course Project Making Predictions.mp4 (7.6 MB)
  • 12. E-Commerce Course Project Making Predictions.vtt (3.5 KB)
  • 13. Prediction Quizzes.mp4 (5.1 MB)
  • 13. Prediction Quizzes.vtt (4.2 KB)
  • 14. Prediction Section Summary.mp4 (2.8 MB)
  • 14. Prediction Section Summary.vtt (2.6 KB)
  • 2. From Logistic Regression to Neural Networks.mp4 (8.6 MB)
  • 2. From Logistic Regression to Neural Networks.vtt (6.9 KB)
  • 3. Interpreting the Weights of a Neural Network.mp4 (12.5 MB)
  • 3. Interpreting the Weights of a Neural Network.vtt (9.7 KB)
  • 4. Softmax.mp4 (4.6 MB)
  • 4. Softmax.vtt (3.9 KB)
  • 5. Sigmoid vs. Softmax.mp4 (2.4 MB)
  • 5. Sigmoid vs. Softmax.vtt (1.8 KB)
  • 6. Feedforward in Slow-Mo (part 1).mp4 (30.3 MB)
  • 6. Feedforward in Slow-Mo (part 1).vtt (26.5 KB)
  • 7. Feedforward in Slow-Mo (part 2).mp4 (16.7 MB)
  • 7. Feedforward in Slow-Mo (part 2).vtt (14.3 KB)
  • 8. Where to get the code for this course.mp4 (3.0 MB)
  • 8. Where to get the code for this course.vtt (2.0 KB)
  • 9. Softmax in Code.mp4 (7.8 MB)
  • 9. Softmax in Code.vtt (3.7 KB)
5. Training a neural network
  • 1. Training Section Introduction and Outline.mp4 (4.4 MB)
  • 1. Training Section Introduction and Outline.vtt (4.0 KB)
  • 10. E-Commerce Course Project Training Logistic Regression with Softmax.mp4 (20.3 MB)
  • 10. E-Commerce Course Project Training Logistic Regression with Softmax.vtt (6.5 KB)
  • 11. E-Commerce Course Project Training a Neural Network.mp4 (15.5 MB)
  • 11. E-Commerce Course Project Training a Neural Network.vtt (4.7 KB)
  • 12. Training Quiz.mp4 (8.3 MB)
  • 12. Training Quiz.vtt (6.6 KB)
  • 13. Training Section Summary.mp4 (4.1 MB)
  • 13. Training Section Summary.vtt (3.7 KB)
  • 2. What do all these symbols and letters mean.mp4 (14.6 MB)
  • 2. What do all these symbols and letters mean.vtt (13.4 KB)
  • 3. What does it mean to t

Description

Udemy - Data Science: Deep Learning in Python

The MOST in-depth look at neural network theory, and how to code one with pure Python and Tensorflow.

For more Udemy Courses: https://freecourselab.com



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Udemy - Data Science: Deep Learning in Python

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Download torrent
1.4 GB
seeders:9
leechers:22
Udemy - Data Science: Deep Learning in Python

Torrent hash: BDB8622A384A13B634BDDFF2A728348E3E8F4A7E