TensorFlow

About TensorFlow
TensorFlow is a powerful high-performance numerical computation open source software library collection. No Matter what platforms (CPUs, GPUs, TPUs) you have, its flexible architecture allows easy deployment of computation across a variety of platform including desktops, clusters of servers or mobile devices. It includes machine learning and deep learning with flexible numerical computation core. With BISP you gain 100% real-life examples of TensorFlow and learn how to solve real-life problems. Our trainer and technical support team ensure your queries are addressed in a timely manner.

Course description
This course focuses on deep learning with the best approach to building artificial intelligence algorithms. Starting from basics components of deep learning (what it means, how it works) to advance code develop development necessary to build various algorithms such as deep convolutional networks, variational autoencoders, generative adversarial networks, and recurrent neural networks. You will learn how to apply these algorithms for exploring creative applications and solving complex business scenarios. The training is all about training a computer to recognize objects in an image and use this knowledge to drive new and interesting behaviors, from understanding the similarities and differences in large datasets and using them to self-organize, to understanding how to infinitely generate entirely new content or match the aesthetics or contents of another image. Our practical approach applications along with guided homework assignments, you'll be expected to create datasets, develop and train neural networks, explore your own media collections, synthesize new content from generative algorithms, and understand deep learning's potential for creating entirely new aesthetics and new ways of interacting with large amounts of data.