diff --git a/doc/web/course.dlog b/doc/web/course.dlog index 13cd85910..743dd9fa8 100644 --- a/doc/web/course.dlog +++ b/doc/web/course.dlog @@ -192,3 +192,6 @@ output in course.html running mako on course.do.txt to make tmp_mako__course.do.txt Translating doconce text in tmp_mako__course.do.txt to html output in course.html +running mako on course.do.txt to make tmp_mako__course.do.txt +Translating doconce text in tmp_mako__course.do.txt to html +output in course.html diff --git a/doc/web/course.do.txt b/doc/web/course.do.txt index fb165c7d9..7a5ee6a42 100644 --- a/doc/web/course.do.txt +++ b/doc/web/course.do.txt @@ -11,8 +11,8 @@ chapters = { 'week37': 'Week 37 September 13-17: Resampling techniques, Cross-validation and the Bootstrap', 'week38': 'Week 38 September 20-24: Summary of linear regression methods and start Logistic Regression', 'week39': 'Week 39 September 27- October 1: Logistic Regression and Gradient methods', - 'week40': 'Week 40 October 4-8: Stochastic Gradient Descent and Neural Networks, starting to build a multi-layer Perceptron model', - 'week41': 'Week 41 October 11-15: Building a multi-layer perceptron code and introduction to Tensorflow', + 'week40': 'Week 40 October 4-8: Stochastic Gradient Descent and Neural Networks, starting to build a multi-layer Perceptron model, the Back Propagation algoritm', + 'week41': 'Week 41 October 11-15: Building a multi-layer perceptron code and introduction to Tensorflow and Convolutional Neural Networks', 'week42': 'Week 42 October 18-22: Deep learning (Convolutional Neural Networks and Recurrent Neural Networks', 'week43': 'Week 43 October 25-29: Dimesionality Reduction, Principal Component analysis', 'week44': 'Week 44 November 1-5: Decision Trees and Bagging', @@ -67,7 +67,7 @@ ${text_types(ch)} ===== Projects Fall 2021 (dates are tentative) ===== -=== Project 1, Deadline October 4 (available September 10) === +=== Project 1, Deadline October 11 (available September 10) === * LaTeX and PDF: * "LaTex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project1/pdf/Project1.tex" * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project1/pdf/Project1.pdf" @@ -77,7 +77,7 @@ ${text_types(ch)} * Jupyter notebook: * "ipynb file": "http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project1/ipynb/Project1.ipynb" -=== Project 2, Deadline November 13 (available October 8) === +=== Project 2, Deadline November 15 (available October 12) === * LaTeX and PDF: * "Latex file":"http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project2/pdf/Project2.tex" * "PDF file":"http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project2/pdf/Project2.pdf" diff --git a/doc/web/course.html b/doc/web/course.html index 908571090..10a2c05c2 100644 --- a/doc/web/course.html +++ b/doc/web/course.html @@ -74,15 +74,17 @@ div { text-align: justify; text-justify: inter-word; } None, 'week-39-september-27-october-1-logistic-regression-and-gradient-methods'), ('Week 40 October 4-8: Stochastic Gradient Descent and Neural ' - 'Networks, starting to build a multi-layer Perceptron model', + 'Networks, starting to build a multi-layer Perceptron model, ' + 'the Back Propagation algoritm', 2, None, - 'week-40-october-4-8-stochastic-gradient-descent-and-neural-networks-starting-to-build-a-multi-layer-perceptron-model'), + 'week-40-october-4-8-stochastic-gradient-descent-and-neural-networks-starting-to-build-a-multi-layer-perceptron-model-the-back-propagation-algoritm'), ('Week 41 October 11-15: Building a multi-layer perceptron code ' - 'and introduction to Tensorflow', + 'and introduction to Tensorflow and Convolutional Neural ' + 'Networks', 2, None, - 'week-41-october-11-15-building-a-multi-layer-perceptron-code-and-introduction-to-tensorflow'), + 'week-41-october-11-15-building-a-multi-layer-perceptron-code-and-introduction-to-tensorflow-and-convolutional-neural-networks'), ('Week 42 October 18-22: Deep learning (Convolutional Neural ' 'Networks and Recurrent Neural Networks', 2, @@ -121,14 +123,14 @@ div { text-align: justify; text-justify: inter-word; } 2, None, 'projects-fall-2021-dates-are-tentative'), - ('Project 1, Deadline October 4 (available September 10)', + ('Project 1, Deadline October 11 (available September 10)', 3, None, - 'project-1-deadline-october-4-available-september-10'), - ('Project 2, Deadline November 13 (available October 8)', + 'project-1-deadline-october-11-available-september-10'), + ('Project 2, Deadline November 15 (available October 12)', 3, None, - 'project-2-deadline-november-13-available-october-8'), + 'project-2-deadline-november-15-available-october-12'), ('Project 3, Deadline December 13 (available November 12)', 3, None, @@ -275,7 +277,7 @@ The teaching material is produced in various formats for running codes (jupyter -

Week 40 October 4-8: Stochastic Gradient Descent and Neural Networks, starting to build a multi-layer Perceptron model

+

Week 40 October 4-8: Stochastic Gradient Descent and Neural Networks, starting to build a multi-layer Perceptron model, the Back Propagation algoritm

-

Week 41 October 11-15: Building a multi-layer perceptron code and introduction to Tensorflow

+

Week 41 October 11-15: Building a multi-layer perceptron code and introduction to Tensorflow and Convolutional Neural Networks