Book Image

Deep Learning Essentials

By : Wei Di, Jianing Wei, Anurag Bhardwaj
3 (1)
Book Image

Deep Learning Essentials

3 (1)
By: Wei Di, Jianing Wei, Anurag Bhardwaj

Overview of this book

Deep Learning a trending topic in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning. This book will help you take your first steps in training efficient deep learning models and applying them in various practical scenarios. You will model, train, and deploy different kinds of neural networks such as CNN, RNN, and will see some of their applications in real-world domains including computer vision, natural language processing, speech recognition, and so on. You will build practical projects such as chatbots, implement reinforcement learning to build smart games, and develop expert systems for image captioning and processing using Python library such as TensorFlow. This book also covers solutions for different problems you might come across while training models, such as noisy datasets, and small datasets. By the end of this book, you will have a firm understanding of the basics of deep learning and neural network modeling, along with their practical applications.
Table of Contents (12 chapters)

Multi-source based self-driving

Is autonomous driving far from us? Perhaps not. If you look at the following road map published by Morgan Stanley Research, it is expected that in around 10-15 years we can safely let cars drive for us without much interference:

Great applications need powerful tools to realize them, and deep learning has been recognized as one such tool. Deep learning can potentially help in solving many problems that exist in the self-driving car system, for example:

  • Lane detection
  • Pedestrian detection
  • Road sign recognition
  • Traffic light detection
  • Face detection/recognition
  • Car detection
  • Obstacle detection
  • Environment recognition
  • Human action recognition
  • Blind-spot monitoring

And for all of these problems, it’s possible that we can leverage multiple data sources to gain better accuracy and speed. Basically, a self-driving car can be equipped with various...