Learn how to develop intelligent applications with sequential learning and apply modern methods for language modeling with neural network architectures for deep
Introduction to deep learning and PyTorch by building a convolutional neural network and recurrent neural network for real-world use cases such as image classif
Build and deploy intelligent applications for natural language processing with Python by using industry standard tools and recently popular methods in deep lear
Learn how to train popular deep learning architectures such as autoencoders, convolutional and recurrent neural networks while discovering how you can use deep
Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and G