Book Image

Deep Learning Adventures with PyTorch [Video]

By : Jakub Konczyk
Book Image

Deep Learning Adventures with PyTorch [Video]

By: Jakub Konczyk

Overview of this book

Are you ready to go on a journey into the world of deep learning? This course will be your guide through the joys and dangers of this new wave of machine learning. Why? Because, let's face it, getting started with deep learning is difficult. Tasks such as choosing between multiple frameworks, understanding APIs, and debugging code are hard. Is there an another way? Yes. Meet PyTorch. 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 course will be one hell of an adventure into the world of deep learning! You'll start by using 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'll channel your inner Picasso by using Deep Neural Network (DNN) to paint unique images. By the end of your adventure, you will be ready to use PyTorch proficiently in your real-world projects. The code bundle for this video course is available at - https://github.com/PacktPublishing/Deep-Learning-Adventures-with-PyTorch
Table of Contents (5 chapters)
Chapter 3
Going Abroad: Language Detection for Fun and Profit with RNN
Content Locked
Section 3
Building, Training, and Testing Your Model for Language Detection
Learn how to build, train, and test a simple RNN network for character level classification. - Build and configure an RNN network - Train the network and understand the training metrics - Evaluate the model using the test set