Brandon Rohrer

Copy Other Peoples Work
Copy Other Peoples Work
DataScienceForBeginnersSeriesPredictAnAnswerWithA high
DataScienceForBeginnersSeriesPredictAnAnswerWithA high
DataScienceForBeginnersAskQuestionYouCanAnswerWit high
DataScienceForBeginnersAskQuestionYouCanAnswerWit high
DataScienceForBeginnersIsYourDataReadyForDataScie high
DataScienceForBeginnersIsYourDataReadyForDataScie high
DataScienceForBeginners5QuestionsDataScienceCanAn high
DataScienceForBeginners5QuestionsDataScienceCanAn high
How Data Science Works
How Data Science Works
How k-nearest neighbors works
How k-nearest neighbors works
Build a 2D convolutional neural network, part 17: Cottonwood cheatsheet
Build a 2D convolutional neural network, part 17: Cottonwood cheatsheet
Build a 2D convolutional neural network, part 16: Cottonwood code tour
Build a 2D convolutional neural network, part 16: Cottonwood code tour
Build a 2D convolutional neural network, part 15: Rendering examples
Build a 2D convolutional neural network, part 15: Rendering examples
Build a 2D convolutional neural network, part 14: Collecting examples
Build a 2D convolutional neural network, part 14: Collecting examples
Build a 2D convolutional neural network, part 13: Loss history and text summary
Build a 2D convolutional neural network, part 13: Loss history and text summary
Build a 2D convolutional neural network, part 12: Testing loop
Build a 2D convolutional neural network, part 12: Testing loop
Build a 2D convolutional neural network, part 11: The training loop
Build a 2D convolutional neural network, part 11: The training loop
Build a 2D convolutional neural network, part 10: Connecting layers
Build a 2D convolutional neural network, part 10: Connecting layers
Build a 2D convolutional neural network, part 9: Adding layers
Build a 2D convolutional neural network, part 9: Adding layers
Build a 2D convolutional neural network, part 8: Training code setup
Build a 2D convolutional neural network, part 8: Training code setup
Build a 2D convolutional neural network, part 7: Why Cottonwood?
Build a 2D convolutional neural network, part 7: Why Cottonwood?
Build a 2D convolutional neural network, part 6: Examples of successes and failures
Build a 2D convolutional neural network, part 6: Examples of successes and failures
Build a 2D convolutional neural network, part 5: Pre-trained model results
Build a 2D convolutional neural network, part 5: Pre-trained model results
Build a 2D convolutional neural network, part 4: Model overview
Build a 2D convolutional neural network, part 4: Model overview
Build a 2D convolutional neural network, part 3: MNIST digits
Build a 2D convolutional neural network, part 3: MNIST digits
Build a 2D convolutional neural network, part 2: Overview
Build a 2D convolutional neural network, part 2: Overview
Build a 2D convolutional neural network, part 1: Getting started
Build a 2D convolutional neural network, part 1: Getting started
Build a 1D convolutional neural network, part 7: Evaluate the model
Build a 1D convolutional neural network, part 7: Evaluate the model
Build a 1D convolutional neural network, part 6: Text summary and loss history
Build a 1D convolutional neural network, part 6: Text summary and loss history
Build a 1D convolutional neural network, part 5: One Hot, Flatten, and Logging blocks
Build a 1D convolutional neural network, part 5: One Hot, Flatten, and Logging blocks
Build a 1D convolutional neural network, part 4: Training, evaluation, reporting
Build a 1D convolutional neural network, part 4: Training, evaluation, reporting
Build a 1D convolutional neural network , part 3: Connect the blocks into a network structure
Build a 1D convolutional neural network , part 3: Connect the blocks into a network structure
Build a 1D convolutional neural network , part 2: Collect the Cottonwood blocks
Build a 1D convolutional neural network , part 2: Collect the Cottonwood blocks