Deep Learning for Developers

Explore the world of deep learning for developers in this 55-minute conference talk from GOTO Amsterdam 2018. Dive into code-level demos using open-source libraries like Apache MXNet and Keras, and discover advanced models based on CNN, GAN, and LSTM architectures. Learn how to solve complex problems through practical examples, including multidimensional convolution, LSTM projects, and GAN applications. Gain insights into building networks, training techniques, optimization strategies, and adaptive methods. Follow along as the speaker covers topics such as derivatives, convolution, and real-world applications like tea plant analysis. By the end of this talk, you'll have a comprehensive understanding of deep learning concepts and their practical implementation, along with valuable resources to continue your learning journey.

Introduction
Normal levels
Building networks
Training
Derivatives
Optimization
Adaptatives
Life is never easy
Example
Convolution
BlueOn
AllureNet
Multidimensional convolution
LST M
WS Project
GAN Project
Tea Plants
Resources