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Morten Hjorth-Jensen
2021-10-22 07:55:23 +02:00
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commit 4618a2a7ee
98 changed files with 3809 additions and 3536 deletions
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@@ -190,6 +190,7 @@ Automatically generated HTML file from DocOnce source
'layers-used-to-build-cnns'),
('Transforming images', 2, None, 'transforming-images'),
('CNNs in brief', 2, None, 'cnns-in-brief'),
('Key Idea', 2, None, 'key-idea'),
('Mathematics of CNNs', 2, None, 'mathematics-of-cnns'),
('Convolution Examples: Polynomial multiplication',
2,
@@ -358,37 +359,38 @@ MathJax.Hub.Config({
<!-- navigation toc: --> <li><a href="._week42-bs057.html#layers-used-to-build-cnns" style="font-size: 80%;">Layers used to build CNNs</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs058.html#transforming-images" style="font-size: 80%;">Transforming images</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs059.html#cnns-in-brief" style="font-size: 80%;">CNNs in brief</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs060.html#mathematics-of-cnns" style="font-size: 80%;">Mathematics of CNNs</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs061.html#convolution-examples-polynomial-multiplication" style="font-size: 80%;">Convolution Examples: Polynomial multiplication</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs062.html#efficient-polynomial-multiplication" style="font-size: 80%;">Efficient Polynomial Multiplication</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs063.html#a-more-efficient-way-of-coding-the-above-convolution" style="font-size: 80%;">A more efficient way of coding the above Convolution</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs064.html#convolution-examples-principle-of-superposition-and-periodic-forces-fourier-transforms" style="font-size: 80%;">Convolution Examples: Principle of Superposition and Periodic Forces (Fourier Transforms)</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs065.html#principle-of-superposition" style="font-size: 80%;">Principle of Superposition</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs066.html#simple-code-example" style="font-size: 80%;">Simple Code Example</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs067.html#wrapping-up-fourier-transforms" style="font-size: 80%;">Wrapping up Fourier transforms</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs068.html#finding-the-coefficients" style="font-size: 80%;">Finding the Coefficients</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs069.html#final-words-on-fourier-transforms" style="font-size: 80%;">Final words on Fourier Transforms</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs070.html#two-dimensional-objects" style="font-size: 80%;">Two-dimensional Objects</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs071.html#cross-correlation" style="font-size: 80%;">Cross-Correlation</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs072.html#more-on-dimensionalities" style="font-size: 80%;">More on Dimensionalities</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs073.html#further-dimensionality-remarks" style="font-size: 80%;">Further Dimensionality Remarks</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs074.html#cnns-in-more-detail-building-convolutional-neural-networks-in-tensorflow-and-keras" style="font-size: 80%;">CNNs in more detail, building convolutional neural networks in Tensorflow and Keras</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs075.html#setting-it-up" style="font-size: 80%;">Setting it up</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs076.html#the-mnist-dataset-again" style="font-size: 80%;">The MNIST dataset again</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs077.html#strong-correlations" style="font-size: 80%;">Strong correlations</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs078.html#layers-of-a-cnn" style="font-size: 80%;">Layers of a CNN</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs079.html#systematic-reduction" style="font-size: 80%;">Systematic reduction</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs080.html#prerequisites-collect-and-pre-process-data" style="font-size: 80%;">Prerequisites: Collect and pre-process data</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs081.html#importing-keras-and-tensorflow" style="font-size: 80%;">Importing Keras and Tensorflow</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs082.html#running-with-keras" style="font-size: 80%;">Running with Keras</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs083.html#final-part" style="font-size: 80%;">Final part</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs084.html#final-visualization" style="font-size: 80%;">Final visualization</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs085.html#the-cifar01-data-set" style="font-size: 80%;">The CIFAR01 data set</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs086.html#verifying-the-data-set" style="font-size: 80%;">Verifying the data set</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs087.html#set-up-the-model" style="font-size: 80%;">Set up the model</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs088.html#add-dense-layers-on-top" style="font-size: 80%;">Add Dense layers on top</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs089.html#compile-and-train-the-model" style="font-size: 80%;">Compile and train the model</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs090.html#finally-evaluate-the-model" style="font-size: 80%;">Finally, evaluate the model</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs060.html#key-idea" style="font-size: 80%;">Key Idea</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs061.html#mathematics-of-cnns" style="font-size: 80%;">Mathematics of CNNs</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs062.html#convolution-examples-polynomial-multiplication" style="font-size: 80%;">Convolution Examples: Polynomial multiplication</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs063.html#efficient-polynomial-multiplication" style="font-size: 80%;">Efficient Polynomial Multiplication</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs064.html#a-more-efficient-way-of-coding-the-above-convolution" style="font-size: 80%;">A more efficient way of coding the above Convolution</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs065.html#convolution-examples-principle-of-superposition-and-periodic-forces-fourier-transforms" style="font-size: 80%;">Convolution Examples: Principle of Superposition and Periodic Forces (Fourier Transforms)</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs066.html#principle-of-superposition" style="font-size: 80%;">Principle of Superposition</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs067.html#simple-code-example" style="font-size: 80%;">Simple Code Example</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs068.html#wrapping-up-fourier-transforms" style="font-size: 80%;">Wrapping up Fourier transforms</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs069.html#finding-the-coefficients" style="font-size: 80%;">Finding the Coefficients</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs070.html#final-words-on-fourier-transforms" style="font-size: 80%;">Final words on Fourier Transforms</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs071.html#two-dimensional-objects" style="font-size: 80%;">Two-dimensional Objects</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs072.html#cross-correlation" style="font-size: 80%;">Cross-Correlation</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs073.html#more-on-dimensionalities" style="font-size: 80%;">More on Dimensionalities</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs074.html#further-dimensionality-remarks" style="font-size: 80%;">Further Dimensionality Remarks</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs075.html#cnns-in-more-detail-building-convolutional-neural-networks-in-tensorflow-and-keras" style="font-size: 80%;">CNNs in more detail, building convolutional neural networks in Tensorflow and Keras</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs076.html#setting-it-up" style="font-size: 80%;">Setting it up</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs077.html#the-mnist-dataset-again" style="font-size: 80%;">The MNIST dataset again</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs078.html#strong-correlations" style="font-size: 80%;">Strong correlations</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs079.html#layers-of-a-cnn" style="font-size: 80%;">Layers of a CNN</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs080.html#systematic-reduction" style="font-size: 80%;">Systematic reduction</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs081.html#prerequisites-collect-and-pre-process-data" style="font-size: 80%;">Prerequisites: Collect and pre-process data</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs082.html#importing-keras-and-tensorflow" style="font-size: 80%;">Importing Keras and Tensorflow</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs083.html#running-with-keras" style="font-size: 80%;">Running with Keras</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs084.html#final-part" style="font-size: 80%;">Final part</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs085.html#final-visualization" style="font-size: 80%;">Final visualization</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs086.html#the-cifar01-data-set" style="font-size: 80%;">The CIFAR01 data set</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs087.html#verifying-the-data-set" style="font-size: 80%;">Verifying the data set</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs088.html#set-up-the-model" style="font-size: 80%;">Set up the model</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs089.html#add-dense-layers-on-top" style="font-size: 80%;">Add Dense layers on top</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs090.html#compile-and-train-the-model" style="font-size: 80%;">Compile and train the model</a></li>
<!-- navigation toc: --> <li><a href="._week42-bs091.html#finally-evaluate-the-model" style="font-size: 80%;">Finally, evaluate the model</a></li>
</ul>
</li>
@@ -450,7 +452,7 @@ $$
<li><a href="._week42-bs045.html">46</a></li>
<li><a href="._week42-bs046.html">47</a></li>
<li><a href="">...</a></li>
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<li><a href="._week42-bs091.html">92</a></li>
<li><a href="._week42-bs038.html">&raquo;</a></li>
</ul>
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