# : Building an Extensible ANN

from pathlib import Path

DATA_DIR = Path("/kaggle/input")
if (DATA_DIR / "ucfai-core-sp18-neural-nets-workshop").exists():
DATA_DIR /= "ucfai-core-sp18-neural-nets-workshop"
else:
# You'll need to download the data from Kaggle and place it in the data/
#   directory beside this notebook.
# The data should be here: https://kaggle.com/c/ucfai-core-sp18-neural-nets-workshop/data
DATA_DIR = Path("data")


## Other Meetings in this Series

#### : an Intro to Neural Networks (ANNs)

Here, we'll dive, head first, into the nitty-gritty of Neural Networks, how they work, what Gradient Descent achieves for them, and how Neural Networks act on the feedback that Gradient Descent derives.