3:48 Build a 2D convolutional neural network, part 17: Cottonwood cheatsheet Brandon Rohrer 1.4K views - 5 years ago
5:28 Build a 2D convolutional neural network, part 16: Cottonwood code tour Brandon Rohrer 637 views - 5 years ago
6:09 Build a 2D convolutional neural network, part 15: Rendering examples Brandon Rohrer 1.1K views - 5 years ago
5:45 Build a 2D convolutional neural network, part 14: Collecting examples Brandon Rohrer 966 views - 5 years ago
4:43 Build a 2D convolutional neural network, part 13: Loss history and text summary Brandon Rohrer 573 views - 5 years ago
5:11 Build a 2D convolutional neural network, part 12: Testing loop Brandon Rohrer 594 views - 5 years ago
3:07 Build a 2D convolutional neural network, part 11: The training loop Brandon Rohrer 569 views - 5 years ago
3:34 Build a 2D convolutional neural network, part 10: Connecting layers Brandon Rohrer 566 views - 5 years ago
3:14 Build a 2D convolutional neural network, part 9: Adding layers Brandon Rohrer 685 views - 5 years ago
3:58 Build a 2D convolutional neural network, part 8: Training code setup Brandon Rohrer 940 views - 5 years ago
3:06 Build a 2D convolutional neural network, part 7: Why Cottonwood? Brandon Rohrer 737 views - 5 years ago
6:03 Build a 2D convolutional neural network, part 6: Examples of successes and failures Brandon Rohrer 909 views - 5 years ago
4:27 Build a 2D convolutional neural network, part 5: Pre-trained model results Brandon Rohrer 941 views - 5 years ago
2:44 Build a 2D convolutional neural network, part 4: Model overview Brandon Rohrer 1K views - 5 years ago
2:18 Build a 2D convolutional neural network, part 3: MNIST digits Brandon Rohrer 1.2K views - 5 years ago
2:27 Build a 2D convolutional neural network, part 2: Overview Brandon Rohrer 1.4K views - 5 years ago
2:24 Build a 2D convolutional neural network, part 1: Getting started Brandon Rohrer 3.2K views - 5 years ago
6:28 Build a 1D convolutional neural network, part 7: Evaluate the model Brandon Rohrer 1.3K views - 5 years ago
4:10 Build a 1D convolutional neural network, part 6: Text summary and loss history Brandon Rohrer 951 views - 5 years ago
4:44 Build a 1D convolutional neural network, part 5: One Hot, Flatten, and Logging blocks Brandon Rohrer 834 views - 5 years ago
3:50 Build a 1D convolutional neural network, part 4: Training, evaluation, reporting Brandon Rohrer 986 views - 5 years ago
4:19 Build a 1D convolutional neural network , part 3: Connect the blocks into a network structure Brandon Rohrer 829 views - 5 years ago
4:34 Build a 1D convolutional neural network , part 2: Collect the Cottonwood blocks Brandon Rohrer 2.4K views - 5 years ago
10:39 Build a 1D convolutional neural network, part 1: Create a test data set Brandon Rohrer 11.9K views - 5 years ago
8:27 Implement 1D convolution, part 7: Weight gradient and input gradient Brandon Rohrer 851 views - 5 years ago
7:29 Implement 1D convolution, part 6: Multi-channel, multi-kernel convolutions Brandon Rohrer 2.1K views - 5 years ago
3:28 Implement 1D convolution, part 5: Forward and backward pass Brandon Rohrer 1.6K views - 5 years ago
3:30 Implement 1D convolution, part 4: Initialize the convolution block Brandon Rohrer 931 views - 5 years ago
6:55 Implement 1D convolution, part 3: Create the convolution block Brandon Rohrer 2K views - 5 years ago
5:58 Implement 1D convolution, part 2: Comparison with NumPy convolution() Brandon Rohrer 4.6K views - 5 years ago
5:45 Implement 1D convolution, part 1: Convolution in Python from scratch Brandon Rohrer 10.1K views - 5 years ago