: Getting Started With Neural Networks

from pathlib import Path

DATA_DIR = Path("/kaggle/input")
if (DATA_DIR / "ucfai-core-sp19-neural-nets").exists():
    DATA_DIR /= "ucfai-core-sp19-neural-nets"
    # 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-sp19-neural-nets/data
    DATA_DIR = Path("data")

Other Meetings in this Series

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You always start with the basics, and with Data Science it's no different! We'll be getting our feet wet with some simple, but powerful, models and demonstrate their power by applying them to real world data.

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Ever wonder how Facebook can tell you which friends to tag in your photos or how Google automatically makes collages and animations for you? This lecture is all about that: We'll teach you the basics of computer vision using convolutional neural networks so you can make your own algorithm to automatically analyze your visual data!

Contributing Authors

John Muchovej
John Muchovej

Founder of AI@UCF. Researcher in cognitive science and machine learning. Focusing on intuitive physics and intuitive psychology.