April 2020
Intermediate to advanced
330 pages
7h 44m
English
Content preview from Hands-On Deep Learning with R
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Section 2: Deep Learning Applications
This section covers various deep learning applications in image processing, natural language processing, recommender systems, and predictive analytics. The reader will learn how to tackle recognition problems including image recognition and signal detection, programmatically summarize documents, conduct topic modeling, and forecast stock market prices.
This section comprises the following chapters:
- Chapter 4, CNNs for Image Recognition
- Chapter 5, Multilayer Perceptron for Signal Detection
- Chapter 6, Neural Collaborative Filtering Using Embeddings
- Chapter 7, Deep Learning for Natural Language Processing
- Chapter 8, Long Short-Term Memory Networks for Stock Forecasting
- Chapter 9, Generative Adversarial ...
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