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Keras is an open-source neural network library written in Python and capable of running on top of CNTK, TensorFlow, or Theano. Keras was developed to enable fast experimentation and is extensively used by data scientists to architect the neural network for complex problems. Keras can serve as higher-level API, which means it can act as an interface for Theano, TensorFlow, etc. Keras also compiles model with loss and optimiser functions, training process with fit function. It does not handle low-level API such as making the computational graph, making tensors or other variables as the backend engine has dealt with it.
This 1-day Introduction to Keras Training is designed to provide knowledge to delegates about Keras and the usage of Keras. Delegates will learn about different Keras layers such as core layers, convolutional layers, pooling layers, locally-connected layers, recurrent layers, etc. In addition, delegates will learn how to perform sequence, text, and image preprocessing. Post completion of this intensive training, delegates will be able to use regularisers and constraints.
This Introduction to Keras Training will explore the following topics:
Introduction to Keras
Overview of Keras Layers
There are no formal prerequisites for attending this course.
Anyone interested in learning about Keras can attend this two-day intensive course. This course is well-suited for:
Duration: 1 Days*
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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
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