Applied Deep Learning with Python

Taking an approach that uses the latest developments in the Python ecosystem, Applied Deep Learning with Python will guide you through the Jupyter ecosystem, key visualization libraries and powerful data sanitization techniques before you train your first predictive model.

You’ll then explore a variety of approaches to classification such as support vector networks, random decision forests and k-nearest neighbors to build on your knowledge before moving on to advanced topics. (Limited-time offer)

Table of Contents

• Jupyter Fundamentals
• Data Cleaning and Advanced Machine Learning
• Web Scraping and Interactive Visualizations
• Introduction to Neural Networks and Deep Learning
• Model Architecture
• Model Evaluation and Optimization
• Productization

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