In collaboration with IBM, GDG Sharjah is glad to invite you to a Deep Learning workshop series! This new advanced level series for audiences interested to specialize in Machine Learning and Deep Learning. In this workshop we will introduce Language Processing using RNN with Tensorflow! Together we will explore the world of text analysis and language processing for AI applications. 🌟 Workshop Overview🌟 Language modeling is the task of assigning probabilities to sequences of words and is one of the most important tasks in natural language processing. Given the context of one word or a sequence of words in the language that the language model was trained on, the model should provide the next most probable words or sequence of words that follow from the given sequence of words in the sentence. In this third workshop of the Your Path to Deep Learning series, we will learn how to perform language modeling on the Penn Treebank data set by creating a Recurrent Neural Network using long short-term memory (LSTM) units in a Jupyter notebook. 🎓 What will you learn?🎓 Deep learning frameworks & architectures Compare deep learning architectures Implementing a Recurrent Neural Network with LSTM Natural Language Processing with Deep Learning 👩💻Who Should Attend?👩💻 Developers interested in building deep learning models using Python Developers interested in Natural Language Processing Deep learning & machine learning enthusiasts Developers discovering deep learning algorithms Developers building use cases around deep learning All Developers interested in analytics and data science are welcome to attend the webinar 🎈 Prerequisites🎈 You must have some background in programming. Python is preferred. You must understand the basics of Machine Learning. You can watch this webinar as a refresher: https://www.crowdcast.io/e/path-to-ai1 Log in to your existing account or Sign up for a free account IBM Cloud at https://ibm.biz/YourPathToDeepLearning 🎙️ Speakers🎙️ Karim Deif, Client Developer Advocate @ IBM (https://www.linkedin.com/in/karimdeif/) Mridul Bhandari, Developer Advocate @ IBM (https://www.linkedin.com/in/mridul-bhandari)
