Deep Learning with Python and R: 2-in-1

Deep learning is the next big thing. Its favorable results in applications with huge and complex data is remarkable. Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language with its increasing number of libraries that are available in Python. Developers can apply deep learning techniques to accomplish complex machine learning tasks, and train AI networks to develop deep levels of perceptual recognition. 

This comprehensive 2–in–1 course will help you explore and create intelligent systems using deep learning techniques. You’ll understand the usage of multiple applications like Natural Language Processing, bioinformatics, recommendation engines, etc. where deep learning models are implemented. You’ll get hands on with various leep learning scenarios and get powerful insights from your data.   

Contents and Overview   

This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.   

The first course, Deep Learning with Python, covers concepts that will help you dive into the future of data science and implement intelligent systems using deep learning with Python. Through this course, you’ll learn convolutional, recurrent neural networks and build up the theory that focuses on supervised learning and integrate into your product offerings such as search, image recognition, and object processing. Finally, you’ll start working with deep learning right away. This course will make you confident about its implementation in your current work as well as further research.