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start [2020/02/18 11:43]
anderson [February]
start [2020/02/20 13:24] (current)
anderson [February]
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 | Week 3:\\ Feb 4, 6   | Gradient descent with Adam. Effects of network size and other parameters. ​  | [[http://​nbviewer.ipython.org/​url/​www.cs.colostate.edu/​~anderson/​cs445/​notebooks/​05 Introduction to Neural Networks.ipynb|05 Introduction to Neural Networks]]\\ [[http://​nbviewer.ipython.org/​url/​www.cs.colostate.edu/​~anderson/​cs445/​notebooks/​06.1 Gradient Descent with Adam.ipynb|06.1 Gradient Descent with Adam]] ​ |  | [[http://​nbviewer.ipython.org/​url/​www.cs.colostate.edu/​~anderson/​cs445/​notebooks/​A1.1 Linear Regression with SGD.ipynb|A1.1 Linear Regression with SGD]] due Thursday, Feb 6th, at 10:00 PM  | | Week 3:\\ Feb 4, 6   | Gradient descent with Adam. Effects of network size and other parameters. ​  | [[http://​nbviewer.ipython.org/​url/​www.cs.colostate.edu/​~anderson/​cs445/​notebooks/​05 Introduction to Neural Networks.ipynb|05 Introduction to Neural Networks]]\\ [[http://​nbviewer.ipython.org/​url/​www.cs.colostate.edu/​~anderson/​cs445/​notebooks/​06.1 Gradient Descent with Adam.ipynb|06.1 Gradient Descent with Adam]] ​ |  | [[http://​nbviewer.ipython.org/​url/​www.cs.colostate.edu/​~anderson/​cs445/​notebooks/​A1.1 Linear Regression with SGD.ipynb|A1.1 Linear Regression with SGD]] due Thursday, Feb 6th, at 10:00 PM  |
 | Week 4:\\ Feb 11, 13  | Optimizers class. NeuralNetwork class. Partioning data.  | [[http://​nbviewer.ipython.org/​url/​www.cs.colostate.edu/​~anderson/​cs445/​notebooks/​07.2 Optimizers, Data Partitioning,​ Finding Good Parameters.ipynb|07.2 Optimizers, Data Partitioning,​ Finding Good Parameters]] | [[https://​ai.facebook.com/​blog/​hiplot-high-dimensional-interactive-plots-made-easy?​utm_source=Deep%20Learning%20Weekly&​utm_campaign=23123dfe9c-EMAIL_CAMPAIGN_2019_04_24_03_18_COPY_01&​utm_medium=email&​utm_term=0_384567b42d-23123dfe9c-72953565|HiPlot]] a new plotting library for visualizing results from multiple training experiments ​ | [[http://​nbviewer.ipython.org/​url/​www.cs.colostate.edu/​~anderson/​cs445/​notebooks/​Exercises1.ipynb|Exercises1]]. Do not check-in. ​ Exercises will not be graded. ​ | | Week 4:\\ Feb 11, 13  | Optimizers class. NeuralNetwork class. Partioning data.  | [[http://​nbviewer.ipython.org/​url/​www.cs.colostate.edu/​~anderson/​cs445/​notebooks/​07.2 Optimizers, Data Partitioning,​ Finding Good Parameters.ipynb|07.2 Optimizers, Data Partitioning,​ Finding Good Parameters]] | [[https://​ai.facebook.com/​blog/​hiplot-high-dimensional-interactive-plots-made-easy?​utm_source=Deep%20Learning%20Weekly&​utm_campaign=23123dfe9c-EMAIL_CAMPAIGN_2019_04_24_03_18_COPY_01&​utm_medium=email&​utm_term=0_384567b42d-23123dfe9c-72953565|HiPlot]] a new plotting library for visualizing results from multiple training experiments ​ | [[http://​nbviewer.ipython.org/​url/​www.cs.colostate.edu/​~anderson/​cs445/​notebooks/​Exercises1.ipynb|Exercises1]]. Do not check-in. ​ Exercises will not be graded. ​ |
-| Week 5:\\ Feb 18, 20  | Pytorch basics, loss functions, optimizers and nn module. ​ | [[http://​nbviewer.ipython.org/​url/​www.cs.colostate.edu/​~anderson/​cs445/​notebooks/​08 Pytorch autograd, nn.Module.ipynb|08 Pytorch autograd, nn.Module]] |  |[[http://​nbviewer.ipython.org/​url/​www.cs.colostate.edu/​~anderson/​cs445/​notebooks/​A2.5 Multilayer Neural Networks for Nonlinear Regression.ipynb|A2.5 Multilayer Neural Networks for Nonlinear Regression]] due Thursday, Feb 20th 10:00 PM   |+| Week 5:\\ Feb 18, 20  | Pytorch basics, loss functions, optimizers and nn module. ​ | [[http://​nbviewer.ipython.org/​url/​www.cs.colostate.edu/​~anderson/​cs445/​notebooks/​08 Pytorch autograd, nn.Module.ipynb|08 Pytorch autograd, nn.Module]] | [[https://​www.cs.colostate.edu/​~anderson/​cs445/​notebooks/​LaProp.pdf|LaProp optimizer]] ​ ​|[[http://​nbviewer.ipython.org/​url/​www.cs.colostate.edu/​~anderson/​cs445/​notebooks/​A2.5 Multilayer Neural Networks for Nonlinear Regression.ipynb|A2.5 Multilayer Neural Networks for Nonlinear Regression]] due Thursday, Feb 20th 10:00 PM   |
 | Week 6:\\ Feb 25, 27  | Tensorflow and Keras. ​ | | Week 6:\\ Feb 25, 27  | Tensorflow and Keras. ​ |
  
start.txt ยท Last modified: 2020/02/20 13:24 by anderson