Lessons:9Length:43 minutes
These days, as an application developer, you can't limit yourself to conventional programming techniques alone! Deep neural networks and machine learning are becoming a part of mainstream software. This means more and more users are starting to expect their apps and devices to be capable of recognizing patterns and making decisions in much the same way as humans do.
Fortunately, with TensorFlow—a fast, powerful, and open-source machine learning framework developed by Google—working with deep learning algorithms is easier than you may think. In this short course, Envato Tuts+ instructor Ashraff Hathibelagal shows you how to create, train, and evaluate a variety of deep neural networks using TensorFlow's high-level Keras API.
1.Introduction
1.1Introduction00:50
1.1
Introduction
00:50
1.2Why Use TensorFlow?01:50
1.2
Why Use TensorFlow?
01:50
1.3Setting Up TensorFlow02:05
1.3
Setting Up TensorFlow
02:05
2.Creating Deep Neural Networks
2.1Creating Your First Neural Network07:34
2.1
Creating Your First Neural Network
07:34
2.2Training and Using Your Neural Network06:03
2.2
Training and Using Your Neural Network
06:03
2.3Using Real-World Data With a Neural Network09:35
2.3
Using Real-World Data With a Neural Network
09:35
2.4Creating a Convolutional Network for Image Classification09:55
2.4
Creating a Convolutional Network for Image Classification
09:55
2.5Training and Using a Convolutional Network03:53
2.5
Training and Using a Convolutional Network
03:53
3.Conclusion
3.1Conclusion00:50
3.1
Conclusion
00:50
