Deep Learning For NLP

Deep Learning For NLP


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.


Thanks for reading :heart: If you liked this post, share it with all of your programming buddies! Follow me on Facebook | Twitter

Learn more

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

Angular 9 Tutorial: Learn to Build a CRUD Angular App Quickly

What's new in Bootstrap 5 and when Bootstrap 5 release date?

Brave, Chrome, Firefox, Opera or Edge: Which is Better and Faster?

How to Build Progressive Web Apps (PWA) using Angular 9

What is new features in Javascript ES2020 ECMAScript 2020

Deep Reinforcement Learning in Python Tutorial - A Course on How to Implement Deep Learning Papers

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)

Implementing Deep Learning Papers - Deep Deterministic Policy Gradients (using Python)

Learn Python Tutorial from Basic to Advance

Basic programming concept in any language will help but not require to attend this tutorial