CS545: Machine Learning

User Tools

Site Tools

Trace:
start

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revisionBoth sides next revision
start [2022/09/29 13:13] – external edit 127.0.0.1start [2022/10/01 17:21] – anderson
Line 26: Line 26:
 | Week 4:\\  Sept 13, 15\\   |  Python classes.  A2.    | [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/04b Introduction to Python Classes.ipynb|04b Introduction to Python Classes]]  | [[https://docs.python.org/3/tutorial/classes.html|Classes Tutorial]]  | [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/A1 Three-Layer Neural Network.ipynb|A1 Three-Layer Neural Network]] due Monday, Sept 12th, at 10:00 PM\\  [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/solutions/Anderson-Solution-A1.ipynb|Anderson-Solution-A1]]  | | Week 4:\\  Sept 13, 15\\   |  Python classes.  A2.    | [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/04b Introduction to Python Classes.ipynb|04b Introduction to Python Classes]]  | [[https://docs.python.org/3/tutorial/classes.html|Classes Tutorial]]  | [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/A1 Three-Layer Neural Network.ipynb|A1 Three-Layer Neural Network]] due Monday, Sept 12th, at 10:00 PM\\  [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/solutions/Anderson-Solution-A1.ipynb|Anderson-Solution-A1]]  |
 | Week 5:\\  Sept 20, 22  | Optimizers. Autoencoders.  | [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/05 Optimizers.ipynb|05 Optimizers]] <color red>Updated Sept. 27th</color> \\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/05a Collecting All Weights into One-Dimensional Vector for Use in Optimizers.ipynb|05a Collecting All Weights into One-Dimensional Vector for Use in Optimizers]]\\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/06 Autoencoders.ipynb|06 Autoencoders]]\\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/06a Visualizing Weights.ipynb|06a Visualizing Weights]] <color red>New</color>  | [[https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf|Pandas Cheat Sheet]]  | [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/A2 NeuralNetwork Class.ipynb|A2 NeuralNetwork Class]] due Thursday, Sept 22nd, at 10:00 PM\\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/solutions/Anderson-A2-Solution.ipynb|Anderson-A2-Solution]]  | | Week 5:\\  Sept 20, 22  | Optimizers. Autoencoders.  | [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/05 Optimizers.ipynb|05 Optimizers]] <color red>Updated Sept. 27th</color> \\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/05a Collecting All Weights into One-Dimensional Vector for Use in Optimizers.ipynb|05a Collecting All Weights into One-Dimensional Vector for Use in Optimizers]]\\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/06 Autoencoders.ipynb|06 Autoencoders]]\\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/06a Visualizing Weights.ipynb|06a Visualizing Weights]] <color red>New</color>  | [[https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf|Pandas Cheat Sheet]]  | [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/A2 NeuralNetwork Class.ipynb|A2 NeuralNetwork Class]] due Thursday, Sept 22nd, at 10:00 PM\\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/solutions/Anderson-A2-Solution.ipynb|Anderson-A2-Solution]]  |
-| Week 6:\\  Sept 27, 29  |  A3. Classification  | [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/07 Introduction to Classification.ipynb|07 Introduction to Classification]]\\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/08 Classification with Linear Logistic Regression.ipynb|08 Classification with Linear Logistic Regression]]\\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/09 Classification with Nonlinear Logistic Regression Using Neural Networks.ipynb|09 Classification with Nonlinear Logistic Regression Using Neural Networks]]\\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/10 JAX.ipynb|10 JAX]]\\ [[https://www.cs.colostate.edu/~anderson/cs545/notebooks/neuralnetworks_app.tar|neuralnetworks_app.tar]]  | [[https://moocaholic.medium.com/jax-a13e83f49897|JAX Ecosystem]]\\ [[https://streamlit.io/|Streamlit]]  | [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/A3 NeuralNetwork Class Using Optimizers.ipynb|A3 NeuralNetwork Class Using Optimizers]] due Tuesday, October 4th, at 10:00 PM. <color red>Updated Sept. 27th.</color>  |+| Week 6:\\  Sept 27, 29  |  A3. Classification  | [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/07 Introduction to Classification.ipynb|07 Introduction to Classification]]  | [[https://moocaholic.medium.com/jax-a13e83f49897|JAX Ecosystem]]\\ [[https://streamlit.io/|Streamlit]]  |  |
  
 ===== October ===== ===== October =====
Line 32: Line 32:
 |< 100% 18% 20% 22% 20% 20%  >| |< 100% 18% 20% 22% 20% 20%  >|
 ^  Week      ^  Topic      ^  Material  ^  Reading          ^  Assignments  ^ ^  Week      ^  Topic      ^  Material  ^  Reading          ^  Assignments  ^
-| Week 7:\\  Oct 4, 6  | Convolutional neural networks.  | [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/11 Convolutional Neural Networks.ipynb|11 Convolutional Neural Networks]]\\ [[https://www.cs.colostate.edu/~anderson/cs545/notebooks/CNN Backprop.pdf|CNN Backpropagation Notes]]  | [[https://spectrum.ieee.org/special-reports/the-great-ai-reckoning/|The Great AI Reckoning]] +| Week 7:\\  Oct 4, 6  | Classification. Convolutional neural networks.  | [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/08 Classification with Linear Logistic Regression.ipynb|08 Classification with Linear Logistic Regression]]\\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/09 Classification with Nonlinear Logistic Regression Using Neural Networks.ipynb|09 Classification with Nonlinear Logistic Regression Using Neural Networks]]\\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/10 JAX.ipynb|10 JAX]]\\ [[https://www.cs.colostate.edu/~anderson/cs545/notebooks/neuralnetworks_app.tar|neuralnetworks_app.tar]]\\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/11 Convolutional Neural Networks.ipynb|11 Convolutional Neural Networks]]\\ [[https://www.cs.colostate.edu/~anderson/cs545/notebooks/CNN Backprop.pdf|CNN Backpropagation Notes]]  | [[https://spectrum.ieee.org/special-reports/the-great-ai-reckoning/|The Great AI Reckoning]]  | [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/A3 NeuralNetwork Class Using Optimizers.ipynb|A3 NeuralNetwork Class Using Optimizers]] due Tuesday, October 4th, at 10:00 PM. <color red>Updated Sept. 27th.</color>   |
 | Week 8:\\  Oct 11, 13  | Pytorch. Convolutional neural nets  | [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/12 Introduction to Pytorch.ipynb|12 Introduction to Pytorch]]\\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/13 Convolutional Neural Networks in Pytorch.ipynb|13 Convolutional Neural Networks in Pytorch]]\\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/14 Convolutional Neural Networks in Numpy.ipynb|14 Convolutional Neural Networks in Numpy]]  | | Week 8:\\  Oct 11, 13  | Pytorch. Convolutional neural nets  | [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/12 Introduction to Pytorch.ipynb|12 Introduction to Pytorch]]\\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/13 Convolutional Neural Networks in Pytorch.ipynb|13 Convolutional Neural Networks in Pytorch]]\\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/14 Convolutional Neural Networks in Numpy.ipynb|14 Convolutional Neural Networks in Numpy]]  |
 | Week 9:\\  Oct 18, 20  | Reinforcement Learning  | [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/15 Introduction to Reinforcement Learning.ipynb|15 Introduction to Reinforcement Learning]]\\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/16 Reinforcement Learning with Neural Network as Q Function.ipynb|16 Reinforcement Learning with Neural Network as Q Function]]  | |   | | Week 9:\\  Oct 18, 20  | Reinforcement Learning  | [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/15 Introduction to Reinforcement Learning.ipynb|15 Introduction to Reinforcement Learning]]\\ [[https://nbviewer.ipython.org/url/www.cs.colostate.edu/~anderson/cs545/notebooks/16 Reinforcement Learning with Neural Network as Q Function.ipynb|16 Reinforcement Learning with Neural Network as Q Function]]  | |   |
start.txt · Last modified: 2024/05/20 17:22 by 127.0.0.1