Are you ready to go on a journey into the world of deep learning with the powerful Python and PyTorch? This course will be your guide through the joys and dangers of this new wave of machine learning.

Python is quickly becoming the technology of choice for deep learning and machine learning, because of its ease to develop powerful neural networks and intelligent machine learning applications. Like Python, PyTorch has a clean and simple API, which makes building neural networks faster and easier. It's also modular, and that makes debugging your code a breeze.

This comprehensive 2-in-1 course will teach you deep learning with Python and PyTorch in an easy-to-understand, practical manner with the help of use cases based on real-world datasets. To begin with, you will create neural networks and deep learning models to predict data and to solve some problems based on the scenarios in the use cases. Next, you will learn how to use Convolutional Neural Networks (CNNs) to classify images, Recurrent Neural Networks (RNNs) to detect languages, and then translate them using Long-Term-Short Memory (LTSM). Finally, you will learn to create Deep Neural Network (DNN) to paint unique images.