Practical Deep Learning with Keras and Python, Learn to apply machine learning to your problems. Follow a complete pipeline including pre-processing and training.
Created by Mohammad Nauman
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What Will I Learn?
- Be able to run deep learning models with Keras on Tensorflow backend
- Stunning SUPPORT. I answer questions on the same day.
- Understand how to feed own data to deep learning models (i.e. handling the notorious shape mismatch issue)
- Understand Deep Learning with minimal of math
- Understand and code Convolutional Neural Networks as well as graph-based deep models involving residual connections and inception modules
- Get tips on how to use Google's GPUs to speed up your experiments for free
- Understand and use Keras' functional API to create models with multiple inputs and outputs
- You should be able to use Python (if, while, lists. Everything else will be covered in the course)
- NO prior knowledge of machine learning is assumed