2.3 Create the convolution block Conv1D

To follow along, make sure you have Cottonwood installed, up to date, and are working from version 19 using

git checkout v19

Alternatively you can walk though the online repository.

Neural network architecture images featured:

LeNet from Gradient-Based Learning Applied to Document Recognition. 1998. Yann LeCun, Leon Bottou, and Patrick Haffner.

VGG16 from Very Deep Convolutional Networks for Large-Scale Image Recognition. 2015. Karen Simonoyan and Andrew Zisserman.

ResNet from Deep Residual Learning for Image Recognition. 2015. Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun.

Long Short-term Memory from Understanding LSTM Networks. colah's blog. 2015. Chris Olah.

Inception from Going Deeper with Convolutions. 2014. Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich.