Loading and Preprocessing Data with TensorFlow

Loading and Preprocessing Data with TensorFlow Discussion leader: Kirk Parker Real world deep learning requires reading huge datasets efficiently. Preprocessing the data - including encoding and normalizing - is often necessary as well. This session will discuss the capabilities built into Keras and TensorFlow to handle these needs. This material is in chapter 13 of the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (2nd Edition) by Aurélien Géron. The SDML book club will be meeting Saturdays to discuss one chapter each week. The HOML book (https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/ ) is available from different booksellers. Make sure to get the second edition with the color cover, not the first edition with the red cover. This is simply one of the best data science books out there. The book covers all of the core concepts from basics like what is machine learning and linear regression to advanced models like reinforcement learning and GANs. This material will provide a solid foundation for beginners, and further the understanding for more experienced data scientists. ================= Agenda ================= - 12:00 - 12:15 pm -- Arrival and socializing/breakouts - 12:15 - 1:30 pm -- Loading and Preprocessing Data with TensorFlow - Time permitting -- Additional breakouts Note that this meetup will be at the same time as the Machine Learning with Graphs meetup. Both events will be recorded. Links to chapter notes and videos of prior meetups are available on the SDML GitHub repo https://github.com/SanDiegoMachineLearning/bookclub ================= Location ================= This will be an online meetup until further notice. ================= Questions? ================= Join our slack channel or leave a comment below if you have any questions about the group or need clarification on anything. https://join.slack.com/t/sdmachinelearning/shared_invite/zt-6b0ojqdz-9bG7tyJMddVHZ3Zm9IajJA