This Deep Learning with TensorFlow course focuses on TensorFlow.
Traditional neural networks rely on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kind of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world.
TensorFlow is counted as one of the best libraries to implement deep learning. TensorFlow is a software library for numerical computation of mathematical expressional, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It is being widely used to develop solutions with Deep Learning.
Radiant Techlearning offers “Deep Learning using Tensor Flow Using Python Certification TOC” training program in Classroom & Virtual Instructor Led / Online mode.