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[FreeCourseLab.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python
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文档列表
6. Appendix/3. Windows-Focused Environment Setup 2018.vtt
195.3 MB
6. Appendix/3. Windows-Focused Environment Setup 2018.mp4
195.3 MB
6. Appendix/6. Proof that using Jupyter Notebook is the same as not using it.mp4
82.1 MB
6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
46.0 MB
6. Appendix/8. What order should I take your courses in (part 2).mp4
39.5 MB
6. Appendix/2. Bonus Section on Machine Learning Basics.mp4
36.7 MB
3. Pandas/7. .values vs .as_matrix().mp4
34.9 MB
6. Appendix/7. What order should I take your courses in (part 1).mp4
30.8 MB
6. Appendix/5. Python 2 vs Python 3.mp4
20.0 MB
6. Appendix/1. Exercises.mp4
17.5 MB
4. Matplotlib/4. Plotting Images.mp4
12.7 MB
2. Numpy/7. More Matrix Operations.mp4
12.6 MB
2. Numpy/1. Lists vs. Arrays.mp4
11.2 MB
1. Introduction and Outline/1. What’s this course about How can you succeed What should you know first.mp4
10.6 MB
5. Scipy/5. Other Interesting Scipy Functions.mp4
10.5 MB
5. Scipy/1. Gaussian PDF and CDF.mp4
8.9 MB
3. Pandas/3. More about DataFrames Selecting Rows and Columns.mp4
8.6 MB
2. Numpy/2. Dot product 1 For loop vs. cosine method vs. dot function.mp4
8.6 MB
3. Pandas/1. Manual Data Loading.mp4
8.5 MB
1. Introduction and Outline/2. Where to get the code (and how to install libraries).mp4
7.9 MB
5. Scipy/3. Sampling from a Gaussian Distribution (Spherical and Axis-aligned Elliptical).mp4
7.8 MB
3. Pandas/2. DataFrames.mp4
7.3 MB
4. Matplotlib/3. Histogram.mp4
6.8 MB
2. Numpy/5. Generating Matrices to Work With.mp4
6.7 MB
4. Matplotlib/2. Scatterplot.mp4
6.5 MB
2. Numpy/4. Vectors and Matrices.mp4
6.5 MB
3. Pandas/4. Even More about DataFrames Column Names.mp4
6.1 MB
4. Matplotlib/1. Line Chart.mp4
5.8 MB
3. Pandas/5. The apply() Function.mp4
5.7 MB
5. Scipy/4. Sampling from a General Multivariate Normal.mp4
5.3 MB
2. Numpy/8. Solving a Linear System.mp4
4.8 MB
5. Scipy/2. Sampling from a Gaussian Distribution (1-D).mp4
4.7 MB
2. Numpy/6. Matrix Products.mp4
4.6 MB
3. Pandas/6. Joins.mp4
4.2 MB
6. Appendix/9. Where to get Udemy coupons and FREE deep learning material.mp4
4.2 MB
2. Numpy/9. Word Problem.mp4
3.5 MB
2. Numpy/3. Dot product 2 Speed comparison.mp4
3.3 MB
1. Introduction and Outline/4. Python 2 or Python 3.mp4
1.9 MB
6. Appendix/8. What order should I take your courses in (part 2).vtt
20.7 kB
6. Appendix/7. What order should I take your courses in (part 1).vtt
14.4 kB
6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt
12.7 kB
6. Appendix/6. Proof that using Jupyter Notebook is the same as not using it.vtt
12.5 kB
6. Appendix/1. Exercises.vtt
9.5 kB
3. Pandas/7. .values vs .as_matrix().vtt
7.9 kB
6. Appendix/2. Bonus Section on Machine Learning Basics.vtt
7.6 kB
1. Introduction and Outline/1. What’s this course about How can you succeed What should you know first.vtt
7.4 kB
2. Numpy/7. More Matrix Operations.vtt
6.8 kB
2. Numpy/1. Lists vs. Arrays.vtt
6.6 kB
5. Scipy/5. Other Interesting Scipy Functions.vtt
5.7 kB
6. Appendix/5. Python 2 vs Python 3.vtt
5.5 kB
5. Scipy/1. Gaussian PDF and CDF.vtt
5.4 kB
3. Pandas/1. Manual Data Loading.vtt
5.1 kB
2. Numpy/2. Dot product 1 For loop vs. cosine method vs. dot function.vtt
5.0 kB
4. Matplotlib/4. Plotting Images.vtt
4.9 kB
3. Pandas/3. More about DataFrames Selecting Rows and Columns.vtt
4.7 kB
1. Introduction and Outline/2. Where to get the code (and how to install libraries).vtt
4.5 kB
2. Numpy/4. Vectors and Matrices.vtt
4.2 kB
3. Pandas/2. DataFrames.vtt
3.9 kB
2. Numpy/5. Generating Matrices to Work With.vtt
3.4 kB
4. Matplotlib/1. Line Chart.vtt
3.1 kB
6. Appendix/9. Where to get Udemy coupons and FREE deep learning material.vtt
3.1 kB
3. Pandas/4. Even More about DataFrames Column Names.vtt
3.0 kB
4. Matplotlib/2. Scatterplot.vtt
3.0 kB
2. Numpy/6. Matrix Products.vtt
3.0 kB
3. Pandas/5. The apply() Function.vtt
2.9 kB
4. Matplotlib/3. Histogram.vtt
2.9 kB
5. Scipy/3. Sampling from a Gaussian Distribution (Spherical and Axis-aligned Elliptical).vtt
2.6 kB
2. Numpy/8. Solving a Linear System.vtt
2.6 kB
5. Scipy/4. Sampling from a General Multivariate Normal.vtt
2.5 kB
3. Pandas/6. Joins.vtt
2.1 kB
5. Scipy/2. Sampling from a Gaussian Distribution (1-D).vtt
1.5 kB
2. Numpy/9. Word Problem.vtt
1.5 kB
2. Numpy/3. Dot product 2 Speed comparison.vtt
1.4 kB
1. Introduction and Outline/4. Python 2 or Python 3.vtt
1.4 kB
1. Introduction and Outline/3. How will you practice what you've learned in this course.html
159 Bytes
[FreeCourseLab.com].url
126 Bytes
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