Natural language processing is an umbrella term for several tasks, common tasks include document-classification, machine translation, and named-entity-recognition. Deep learning methods had revolutionized the NLP field, breaking state-of-the-art benchmarks in all of these fields. This workshop would focus on the named-entity-recognition (NER) with deep learning methods. The workshop is hands-on, meaning that participants are required to bring their own laptop with all the requirements installed. Python proficiency is assumed, and machine-learning background is a big plus.
Deep Learning A-Z™: Hands-On Artificial Neural Networks
Complete Guide to TensorFlow for Deep Learning with Python
Machine Learning, Data Science and Deep Learning with Python
PyTorch for Deep Learning and Computer Vision
Machine Learning with Python, Jupyter, KSQL and TensorFlow
Python and HDFS for Machine Learning
Learn how to go from reading a paper on deep deterministic policy gradients to implementing the concepts in Tensorflow. Learn how to code a deep deterministic policy gradient (DDPG) agent using Python and PyTorch, to beat the continuous lunar lander environment (a classic machine learning problem).
Implementing Deep Learning Papers - Deep Deterministic Policy Gradients (using Python)
Basic programming concept in any language will help but not require to attend this tutorial