Python allows you to read and write a variety of files, such as CSV, text, images, JSON, and others. These files often contain the input for your Keras neural networks. In this video we will see how to access files in Python. Code for This Video: https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_01_4_python_files.ipynb ~~~~~~~~~~~~~~~ COURSE MATERIAL ~~~~~~~~~~~~~~~ 📖 Textbook - https://www.heatonresearch.com/book/applications-deep-neural-networks-keras.html 😸🐙 GitHub - https://github.com/jeffheaton/t81_558_deep_learning ▶️ Play List -    • 2023 Keras Version of Applications of...   🏫 WUSTL Course Site - https://sites.wustl.edu/jeffheaton/t81-558/ ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ 🖥️ Website: https://www.heatonresearch.com/ 🐦 Twitter - https://twitter.com/jeffheaton 😸🐙 GitHub - https://github.com/jeffheaton 📸 Instagram - https://www.instagram.com/jeffheatondotcom/ 🦾 Discord: https://discord.gg/3bjthYv ▶️ Subscribe: null ~~~~~~~~~~~~~~ SUPPORT ME 🙏~~~~~~~~~~~~~~ 🅿 Patreon - https://www.patreon.com/jeffheaton 🙏 Other Ways to Support (some free) - https://www.heatonresearch.com/support.html ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #Python #Tensorflow #Keras #csv #png #jpg #csv