9 Ways to Get Help with Deep Learning in Keras
Last Updated on August 19, 2019
Keras is a Python deep learning library that can use the efficient Theano or TensorFlow symbolic math libraries as a backend.
Keras is so easy to use that you can develop your first Multilayer Perceptron, Convolutional Neural Network, or LSTM Recurrent Neural Network in minutes.
You may have technical questions when you get started using Keras. You may need a little help.
In this post, you will discover 9 places where you can ask questions and get help when developing deep learning models with Keras.
Kick-start your project with my new book Deep Learning With Python, including step-by-step tutorials and the Python source code files for all examples.
Let’s dive in.
How to Best Use These Resources
Knowing where to get help is the first step, but you need to know how to get the most out of these resources.
Below are some tips that you can use:
- Boil your question down to the simplest form. E.g. not “my model does not work” or “how does x work“.
- Search for answers before asking questions.
- Provide the smallest possible working example to demonstrate your issue.