[FreeCourseLab.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python番号下载_[FreeCourseLab.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python番号下载_[FreeCourseLab.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python下载

[FreeCourseLab.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python

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种子名称： [FreeCourseLab.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python
文件类型：视频
文件数目： 37个文件
文件大小： 666.25 MB
收录时间： 2020-1-2 05:01
已经下载： 3次
资源热度： 232
最近下载： 2025-1-11 22:52

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[FreeCourseLab.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python.torrent

1. Introduction and Outline/1. What’s this course about How can you succeed What should you know first.mp410.16MB

1. Introduction and Outline/2. Where to get the code (and how to install libraries).mp47.5MB

1. Introduction and Outline/4. Python 2 or Python 3.mp41.82MB

2. Numpy/1. Lists vs. Arrays.mp410.67MB

2. Numpy/2. Dot product 1 For loop vs. cosine method vs. dot function.mp48.17MB

2. Numpy/3. Dot product 2 Speed comparison.mp43.13MB

2. Numpy/4. Vectors and Matrices.mp46.16MB

2. Numpy/5. Generating Matrices to Work With.mp46.37MB

2. Numpy/6. Matrix Products.mp44.41MB

2. Numpy/7. More Matrix Operations.mp412.05MB

2. Numpy/8. Solving a Linear System.mp44.59MB

2. Numpy/9. Word Problem.mp43.33MB

3. Pandas/1. Manual Data Loading.mp48.13MB

3. Pandas/2. DataFrames.mp46.94MB

3. Pandas/3. More about DataFrames Selecting Rows and Columns.mp48.23MB

3. Pandas/4. Even More about DataFrames Column Names.mp45.81MB

3. Pandas/5. The apply() Function.mp45.39MB

3. Pandas/6. Joins.mp44.03MB

3. Pandas/7. .values vs .as_matrix().mp433.28MB

4. Matplotlib/1. Line Chart.mp45.55MB

4. Matplotlib/2. Scatterplot.mp46.24MB

4. Matplotlib/3. Histogram.mp46.52MB

4. Matplotlib/4. Plotting Images.mp412.16MB

5. Scipy/1. Gaussian PDF and CDF.mp48.45MB

5. Scipy/2. Sampling from a Gaussian Distribution (1-D).mp44.5MB

5. Scipy/3. Sampling from a Gaussian Distribution (Spherical and Axis-aligned Elliptical).mp47.49MB

5. Scipy/4. Sampling from a General Multivariate Normal.mp45.03MB

5. Scipy/5. Other Interesting Scipy Functions.mp410MB

6. Appendix/1. Exercises.mp416.69MB

6. Appendix/2. Bonus Section on Machine Learning Basics.mp434.96MB

6. Appendix/3. Windows-Focused Environment Setup 2018.mp4186.24MB

6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.92MB

6. Appendix/5. Python 2 vs Python 3.mp419.1MB

6. Appendix/6. Proof that using Jupyter Notebook is the same as not using it.mp478.28MB

6. Appendix/7. What order should I take your courses in (part 1).mp429.33MB

6. Appendix/8. What order should I take your courses in (part 2).mp437.63MB

6. Appendix/9. Where to get Udemy coupons and FREE deep learning material.mp44.02MB