# A Look Behind DeepFake ~ GANs

from pathlib import Path

DATA_DIR = Path("/kaggle/input")
if (DATA_DIR / "ucfai-core-sp20-gans").exists():
DATA_DIR /= "ucfai-core-sp20-gans"
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-sp20-gans/data
DATA_DIR = Path("data")


## Other Meetings in this Series

#### Time Series Analysis

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How can we infer on the past to predict the future? In this meeting we are going to be learning about time series data and its unique qualities. After we sharpen up our data science skills, we will be putting them to good use by analyzing and predicting the spread of the Coronavirus!

#### Training Machines to Learn From Experience

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We all remember when DeepMind’s AlphaGo beat Lee Sedol, but what actually made the program powerful enough to outperform an international champion? In this lecture, we’ll dive into the mechanics of reinforcement learning and its applications.