What Makes Deep Learning More of an Art Than a Science?

from pathlib import Path

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

Other Meetings in this Series

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This lecture is all about Recurrent Neural Networks. These are networks with with added memory, which means they can learn from sequential data such as speech, text, videos, and more. Different types of RNNs and strategies for building them will also be covered. The project will be building a LSTM-RNN to generate new original scripts for the TV series “The Simpsons”. Come and find out if our networks can become better writers for the show!

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In the fields of Data Science and Artificial Intelligence, your models and analyses will only be as good as the data behind them. Unfortunately, you will find that the majority of datasets you encounter will be filled with missing, malformed, or erroneous data. Thankfully, Python provides a number of handy libraries to help you clean and manipulate your data into a usable state. In today's lecture, we will leverage these Python libraries to turn a messy dataset into a gold mine of value!

Contributing Authors

John Muchovej
John Muchovej

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