Course Outline
Introduction
Keras and Deep Learning Frameworks
- TensorFlow and Theano back-ends
- Keras vs Tensorflow
Data and Machine Learning
- Tabular data, visual data, unstructured data, etc.
- Unsupervised learning, supervised learning, reinforcement learning, etc.
Preparing the Development Environment
- Installing and configuring Anaconda
- Installing Keras with a TensorFlow back-end
Neural Networks in Keras
- Using Keras functional API to build a network
- Pre-processing and fitting data
- Defining a Keras model
Mutiple Input and Output Networks
- Building two input-networks
- Representing high-cardinality data
- Merging layers
- Extending the two input-network
- Building neural networks with multiple outputs
- Solving multiple problems simultaneously
Training and Pre-Training
- Training models
- Saving and loading models
- Using ResNet50 on models
TensorBoard
- Exporting Keras logs
- Visualizing a computational graph and training progress
Google Cloud
- Exporting models
- Uploading Keras models
- Using a model in Google Cloud
Summary and Conclusion
Requirements
- An understanding of basic linear algebra
Audience
- Software Engineers
Testimonials (5)
Examples/exercices perfectly adapted to our domain
Luc - CS Group
Course - Scaling Data Analysis with Python and Dask
The trainer was very available to answer all te kind of question I did
Caterina - Stamtech
Course - Developing APIs with Python and FastAPI
Transfer of practical knowledge and experience of the trainer.
Rumel Mateusz - Pojazdy Szynowe PESA Bydgoszcz SA
Machine Translated
It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course
Bozena Stansfield - New College Durham
Course - Build REST APIs with Python and Flask
As I was the only participant the training could be adapted to my needs.