Deep Learning Prerequisites: The Numpy Stack in Python (UPDATED till 14 Nov 2019) [UDEMY]

Files:

• 3. Windows-Focused Environment Setup 2018.mp4 (186.2 MB)
• 1. Exercises.mp4 (16.7 MB)
• 1. Exercises.srt (10.5 KB)
• 2. Bonus Section on Machine Learning Basics.mp4 (35.0 MB)
• 2. Bonus Section on Machine Learning Basics.srt (8.5 KB)
• 3. Windows-Focused Environment Setup 2018.srt (20.1 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.srt (14.5 KB)
• 5. Python 2 vs Python 3.mp4 (19.1 MB)
• 5. Python 2 vs Python 3.srt (6.1 KB)
• 6. Proof that using Jupyter Notebook is the same as not using it.mp4 (78.3 MB)
• 6. Proof that using Jupyter Notebook is the same as not using it.srt (14.1 KB)
• 7. What order should I take your courses in (part 1).mp4 (29.3 MB)
• 7. What order should I take your courses in (part 1).srt (16.0 KB)
• 8. What order should I take your courses in (part 2).mp4 (37.6 MB)
• 8. What order should I take your courses in (part 2).srt (23.0 KB)
• 9. Where to get Udemy coupons and FREE deep learning material.mp4 (4.0 MB)
• 9. Where to get Udemy coupons and FREE deep learning material.srt (3.4 KB)

• 1. What’s this course about How can you succeed What should you know first.srt (8.2 KB)
• 2. Where to get the code (and how to install libraries).mp4 (7.5 MB)
• 2. Where to get the code (and how to install libraries).srt (4.9 KB)
• 3. How will you practice what you've learned in this course.html (0.2 KB)
• 4. Python 2 or Python 3.mp4 (1.8 MB)
• 4. Python 2 or Python 3.srt (1.5 KB)
• 1. What’s this course about How can you succeed What should you know first.mp4 (10.1 MB)

• 1. Lists vs. Arrays.mp4 (10.7 MB)
• 1. Lists vs. Arrays.srt (7.5 KB)
• 2. Dot product 1 For loop vs. cosine method vs. dot function.mp4 (8.2 MB)
• 2. Dot product 1 For loop vs. cosine method vs. dot function.srt (5.6 KB)
• 3. Dot product 2 Speed comparison.mp4 (3.1 MB)
• 3. Dot product 2 Speed comparison.srt (1.5 KB)
• 4. Vectors and Matrices.mp4 (6.2 MB)
• 4. Vectors and Matrices.srt (4.7 KB)
• 5. Generating Matrices to Work With.mp4 (6.4 MB)
• 5. Generating Matrices to Work With.srt (3.8 KB)
• 6. Matrix Products.mp4 (4.4 MB)
• 6. Matrix Products.srt (3.3 KB)
• 7. More Matrix Operations.mp4 (12.0 MB)
• 7. More Matrix Operations.srt (7.8 KB)
• 8. Solving a Linear System.mp4 (4.6 MB)
• 8. Solving a Linear System.srt (2.9 KB)
• 9. Word Problem.mp4 (3.3 MB)
• 9. Word Problem.srt (1.6 KB)

• 1. Manual Data Loading.mp4 (8.1 MB)
• 1. Manual Data Loading.srt (5.6 KB)
• 2. DataFrames.mp4 (7.0 MB)
• 2. DataFrames.srt (4.3 KB)
• 3. More about DataFrames Selecting Rows and Columns.mp4 (8.2 MB)
• 3. More about DataFrames Selecting Rows and Columns.srt (5.3 KB)
• 4. Even More about DataFrames Column Names.mp4 (5.8 MB)
• 4. Even More about DataFrames Column Names.srt (3.4 KB)
• 5. The apply() Function.mp4 (5.4 MB)
• 5. The apply() Function.srt (3.2 KB)
• 6. Joins.mp4 (4.0 MB)
• 6. Joins.srt (2.4 KB)
• 7. .values vs .as_matrix().mp4 (33.3 MB)
• 7. .values vs .as_matrix().srt (8.8 KB)

• 1. Line Chart.mp4 (5.5 MB)
• 1. Line Chart.srt (3.5 KB)
• 2. Scatterplot.mp4 (6.2 MB)
• 2. Scatterplot.srt (3.4 KB)
• 3. Histogram.mp4 (6.5 MB)
• 3. Histogram.srt (3.2 KB)
• 4. Plotting Images.mp4 (12.2 MB)
• 4. Plotting Images.srt (5.5 KB)

• 1. Gaussian PDF and CDF.mp4 (8.5 MB)
• 1. Gaussian PDF and CDF.srt (6.0 KB)
• 2. Sampling from a Gaussian Distribution (1-D).mp4 (4.5 MB)
• 2. Sampling from a Gaussian Distribution (1-D).srt (1.7 KB)
• 3. Sampling from a Gaussian Distribution (Spherical and Axis-aligned Elliptical).mp4 (7.5 MB)
• 3. Sampling from a Gaussian Distribution (Spherical and Axis-aligned Elliptical).srt (2.9 KB)
• 4. Sampling from a General Multivariate Normal.mp4 (5.0 MB)
• 4. Sampling from a General Multivariate Normal.srt (2.7 KB)
• 5. Other Interesting Scipy Functions.mp4 (10.0 MB)
• 5. Other Interesting Scipy Functions.srt (6.5 KB)