Torrent Contents Size: 666.6 MB
Deep Learning Prerequisites: The Numpy Stack in Python (UPDATED till 14 Nov 2019) [UDEMY]
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1. Exercises.mp4
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16.7 MB
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1. Exercises.srt
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10.5 KB
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1. Gaussian PDF and CDF.mp4
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8.5 MB
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1. Gaussian PDF and CDF.srt
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6 KB
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1. Line Chart.mp4
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5.5 MB
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1. Line Chart.srt
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3.5 KB
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1. Lists vs. Arrays.mp4
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10.7 MB
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1. Lists vs. Arrays.srt
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1. Manual Data Loading.mp4
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8.1 MB
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1. Manual Data Loading.srt
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5.6 KB
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1. What’s this course about How can you succeed What should you know first.mp4
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10.1 MB
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1. What’s this course about How can you succeed What should you know first.srt
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8.2 KB
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2. Bonus Section on Machine Learning Basics.mp4
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35 MB
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2. Bonus Section on Machine Learning Basics.srt
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8.5 KB
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2. DataFrames.mp4
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7 MB
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2. DataFrames.srt
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4.3 KB
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2. Dot product 1 For loop vs. cosine method vs. dot function.mp4
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8.2 MB
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2. Dot product 1 For loop vs. cosine method vs. dot function.srt
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2. Sampling from a Gaussian Distribution (1-D).mp4
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4.5 MB
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2. Sampling from a Gaussian Distribution (1-D).srt
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1.7 KB
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2. Scatterplot.mp4
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6.2 MB
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2. Scatterplot.srt
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3.4 KB
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2. Where to get the code (and how to install libraries).mp4
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7.5 MB
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2. Where to get the code (and how to install libraries).srt
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3. Dot product 2 Speed comparison.mp4
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3.1 MB
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3. Dot product 2 Speed comparison.srt
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3. Histogram.mp4
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6.5 MB
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3. Histogram.srt
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3. How will you practice what you've learned in this course.html
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HTML
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3. More about DataFrames Selecting Rows and Columns.mp4
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8.2 MB
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3. More about DataFrames Selecting Rows and Columns.srt
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5.3 KB
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3. Sampling from a Gaussian Distribution (Spherical and Axis-aligned Elliptical).mp4
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7.5 MB
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3. Sampling from a Gaussian Distribution (Spherical and Axis-aligned Elliptical).srt
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2.9 KB
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3. Windows-Focused Environment Setup 2018.mp4
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186.2 MB
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3. Windows-Focused Environment Setup 2018.srt
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20.1 KB
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4. Even More about DataFrames Column Names.mp4
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5.8 MB
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4. Even More about DataFrames Column Names.srt
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3.4 KB
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4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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43.9 MB
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4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
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14.5 KB
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4. Plotting Images.mp4
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4. Plotting Images.srt
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4. Python 2 or Python 3.mp4
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1.8 MB
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4. Python 2 or Python 3.srt
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1.5 KB
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4. Sampling from a General Multivariate Normal.mp4
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5 MB
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4. Sampling from a General Multivariate Normal.srt
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4. Vectors and Matrices.mp4
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6.2 MB
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4. Vectors and Matrices.srt
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5. Generating Matrices to Work With.mp4
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6.4 MB
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5. Generating Matrices to Work With.srt
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3.8 KB
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5. Other Interesting Scipy Functions.mp4
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10 MB
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5. Other Interesting Scipy Functions.srt
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5. Python 2 vs Python 3.mp4
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19.1 MB
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5. Python 2 vs Python 3.srt
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5. The apply() Function.mp4
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5. The apply() Function.srt
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6. Joins.mp4
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4 MB
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6. Joins.srt
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6. Matrix Products.mp4
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6. Matrix Products.srt
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6. Proof that using Jupyter Notebook is the same as not using it.mp4
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78.3 MB
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6. Proof that using Jupyter Notebook is the same as not using it.srt
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14.1 KB
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7. .values vs .as_matrix().mp4
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33.3 MB
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7. .values vs .as_matrix().srt
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8.8 KB
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7. More Matrix Operations.mp4
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12 MB
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7. More Matrix Operations.srt
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7.8 KB
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7. What order should I take your courses in (part 1).mp4
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29.3 MB
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7. What order should I take your courses in (part 1).srt
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16 KB
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8. Solving a Linear System.mp4
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4.6 MB
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8. Solving a Linear System.srt
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2.9 KB
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8. What order should I take your courses in (part 2).mp4
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37.6 MB
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8. What order should I take your courses in (part 2).srt
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23 KB
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9. Where to get Udemy coupons and FREE deep learning material.mp4
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4 MB
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9. Where to get Udemy coupons and FREE deep learning material.srt
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3.4 KB
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9. Word Problem.mp4
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3.3 MB
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9. Word Problem.srt
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1.6 KB
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