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This is a step-by-step course in getting the most out of deep learning models on your own predictive modeling projects.

Learn deep learning from scratch using Python and Keras

Create better and easy-to-use deep learning models with AutoKeras

Discover how TPOT can be used to handle automation in machine learning and explore the different types of tasks that TPOT can automate

Implementing supervised, unsupervised, and generative deep learning (DL) models using Keras, TensorFlow, and PyTorch

Discover how to leverage Keras, the powerful and easy-to-use open source Python library for developing and evaluating deep learning models

Explore powerful deep learning techniques using Keras

Tips and tricks to improve your skills with Keras

Develop state-of-the-art machine learning models with just a few lines of code!

Lean deep sentiment analysis using Python and write an industry-grade sentiment analysis engine in less than 60 lines of code!

Deep learning and data science using a Python and Keras library - A complete guide to take you from a beginner to professional

Develop generative models for a variety of real-world use-cases and deploy them to production

Explore the power of Generative Adversarial Networks to empower your business

Demonstrate fundamentals of Deep Learning and neural network methodologies using Keras 2.x

Build interactive chatbots, facial recognition, headline writers, and more. No AI experience required!