Introduction to Recurrent Neural Network

Prerequisites:

Python or any other programming background, concepts related to basic regression and classification machine learning algorithms.

Description:

In this class, you’ll learn how to implement a Recurrent Neural Networks (CNNs) in Python with Keras.

• Introduction to Recurrent neural networks using Tensorflow
• Explore and analyze your text data
• Build the neural network model using TensorFlow and Keras
• Evaluate your model
• Predict using test data
• Understand evaluation metrics for classification.

Please note

* Active class participation is necessary from all students. This helps us improve content structure as well as delivery.

* The session will be recorded for training and development purposes.

* We reserve the right to modify, cancel and limit any course. We reserve the right to refuse participants for any reason.

* Seats are limited, so please ONE ticket only. Country quota is in place, if your country quota fills up you will automatically be moved to the next event.

* We have a few genius but dyslexic instructors. So if you are super fussy about grammar then this may not be your class.

Please visit Flourishing Life ai's LINKEDIN page.

We share stories about the latest machine learning technologies, applications and use cases, job information, conferences, research funding, and PhD funding opportunities.