This weekend, our cohort learned how to use and implement Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs) and Long Short Term Memory networks (LSTMs) during our much anticipated Applied Data Science Deep Learning module.
Students began by learning about how multilayer perceptrons work to understand the limits of Deep Learning, and experimented with the performance of pre-trained neural networks. By the end of the session, students had built and trained CNN’s for computer vision using Keras. Day two covered more advanced topics such as RNNs for regression problems and how to use LSTMs for time series.
The Applied Data Science journey…
If you’re looking to advance your current skill set, learn about cutting-edge industry methods and start a career in the field of data science,apply now to join us.