Building Deep Learning Models with TensorFlow
Completed by JORIS ROBIN PARET
June 5, 2022
7 hours (approximately)
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What you will learn
Explain foundational TensorFlow concepts such as the main functions, operations and the execution pipelines.
Describe how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions.
Analyze different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.
Apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained.
