Teaching Machines to Make Sense of Images

John Muchovej
Last updated on Feb 19, 2023
1 min read 
from pathlib import Path

DATA_DIR = Path("/kaggle/input")
if (DATA_DIR / "ucfai-core-fa18-conv-nets").exists():
    DATA_DIR /= "ucfai-core-fa18-conv-nets"
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-fa18-conv-nets/data
    DATA_DIR = Path("data")

Other Meetings in this Series

John Muchovej
Sep 26, 2020 4:30 PM
PSY 105
Read more

With some basic ideas in mind about how one might tackle a task, we'll now go and explore a Tensor framework (PyTorch) and build a Neural Network which can accurately classify handwritten digits, as well as articles of clothing.

John Muchovej
Oct 10, 2020 4:30 PM
PSY 105
Read more

Fully Connect Neural Networks and Convolutional Neural Networks are absolutely wonderful, but they miss out on one key component of our world, time. This week we'll look at Networks which also model time as part of their inputs – because of this, they'll be able to write nearly as well as Shakespeare! 😃

Contributing Authors

John Muchovej
John Muchovej

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