Deep Learning Prerequisites The Numpy Stack in Python | 27027294827C09FE193C87DAAE869C3559401B42

Deep Learning Prerequisites The Numpy Stack in Python

Name	Deep Learning Prerequisites The Numpy Stack in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	699.0 MB
Total Files	75
Hash	27027294827C09FE193C87DAAE869C3559401B42

/6. Appendix FAQ/
3. Windows-Focused Environment Setup 2018.mp4	195.3 MB
1. Exercises.mp4	17.5 MB
1. Exercises.srt	10.7 KB
2. Bonus Section on Machine Learning Basics.mp4	36.7 MB
2. Bonus Section on Machine Learning Basics.srt	8.7 KB
3. Windows-Focused Environment Setup 2018.srt	20.6 KB
4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	46.1 MB
4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt	14.8 KB
5. Python 2 vs Python 3.mp4	20.0 MB
5. Python 2 vs Python 3.srt	6.2 KB
6. Proof that using Jupyter Notebook is the same as not using it.mp4	82.1 MB
6. Proof that using Jupyter Notebook is the same as not using it.srt	14.5 KB
7. What order should I take your courses in (part 1).mp4	30.7 MB
7. What order should I take your courses in (part 1).srt	16.4 KB
8. What order should I take your courses in (part 2).mp4	39.4 MB
8. What order should I take your courses in (part 2).srt	23.6 KB
9. Where to get Udemy coupons and FREE deep learning material.mp4	4.2 MB
9. Where to get Udemy coupons and FREE deep learning material.srt	3.5 KB
/1. Introduction and Outline/
1. What’s this course about How can you succeed What should you know first.srt	8.4 KB
2. Where to get the code (and how to install libraries).mp4	7.9 MB
2. Where to get the code (and how to install libraries).srt	5.0 KB
3. How will you practice what you've learned in this course.html	0.2 KB
4. Python 2 or Python 3.mp4	1.9 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	10.6 MB
/2. Numpy/
1. Lists vs. Arrays.mp4	11.2 MB
1. Lists vs. Arrays.srt	7.7 KB
2. Dot product 1 For loop vs. cosine method vs. dot function.mp4	8.6 MB
2. Dot product 1 For loop vs. cosine method vs. dot function.srt	5.7 KB
3. Dot product 2 Speed comparison.mp4	3.3 MB
3. Dot product 2 Speed comparison.srt	1.6 KB
4. Vectors and Matrices.mp4	6.5 MB
4. Vectors and Matrices.srt	4.8 KB
5. Generating Matrices to Work With.mp4	6.7 MB
5. Generating Matrices to Work With.srt	3.9 KB
6. Matrix Products.mp4	4.6 MB
6. Matrix Products.srt	3.3 KB
7. More Matrix Operations.mp4	12.6 MB
7. More Matrix Operations.srt	7.9 KB
8. Solving a Linear System.mp4	4.8 MB
8. Solving a Linear System.srt	2.9 KB
9. Word Problem.mp4	3.5 MB
9. Word Problem.srt	1.7 KB
/3. Pandas/
1. Manual Data Loading.mp4	8.5 MB
1. Manual Data Loading.srt	5.8 KB
2. DataFrames.mp4	7.3 MB
2. DataFrames.srt	4.4 KB
3. More about DataFrames Selecting Rows and Columns.mp4	8.6 MB
3. More about DataFrames Selecting Rows and Columns.srt	5.5 KB
4. Even More about DataFrames Column Names.mp4	6.1 MB
4. Even More about DataFrames Column Names.srt	3.4 KB
5. The apply() Function.mp4	5.7 MB
5. The apply() Function.srt	3.3 KB
6. Joins.mp4	4.2 MB
6. Joins.srt	2.4 KB
7. .values vs .as_matrix().mp4	34.9 MB
7. .values vs .as_matrix().srt	9.0 KB
/4. Matplotlib/
1. Line Chart.mp4	5.8 MB
1. Line Chart.srt	3.6 KB
2. Scatterplot.mp4	6.5 MB
2. Scatterplot.srt	3.5 KB
3. Histogram.mp4	6.8 MB
3. Histogram.srt	3.3 KB
4. Plotting Images.mp4	12.8 MB
4. Plotting Images.srt	5.6 KB
/5. Scipy/
1. Gaussian PDF and CDF.mp4	8.9 MB
1. Gaussian PDF and CDF.srt	6.1 KB
2. Sampling from a Gaussian Distribution (1-D).mp4	4.7 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	7.9 MB
3. Sampling from a Gaussian Distribution (Spherical and Axis-aligned Elliptical).srt	3.0 KB
4. Sampling from a General Multivariate Normal.mp4	5.3 MB
4. Sampling from a General Multivariate Normal.srt	2.8 KB
5. Other Interesting Scipy Functions.mp4	10.5 MB
5. Other Interesting Scipy Functions.srt	6.6 KB
Total files 75