Deep Learning with Tensorflow
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. Understand 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.