DURATION: 2 months / 40 Hours | STRUCTURE: Instructor Led | PRE-REQUISITES: Python* programming, Statistics
This course offers an opportunity to learn the techniques, terminology and mathematics of deep learning, the fundamental neural network architectures, feedforward networks, convolutional networks and recurrent networks. Students can discover how to appropriately build and train these models and learn about various deep learning applications, how to use pre-trained models for best results and how to build a basic neural network using Keras* with TensorFlow* as the backend.
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