Deep Learning with TensorFlow – TensorFlow Deep Training
Deep learning is the intersection of statistics, artificial intelligence, and data to build accurate patterns and TensorFlow is one of the newest and most comprehensive libraries for implementing deep learning. With deep learning going mainstream, making sense of data and getting accurate results using deep networks is possible. This course is your guide to exploring opportunities with deep learning; it will enable you to understand data like never before. With the efficiency and simplicity of TensorFlow, you will be able to process your data and gain insights that will change how you look at data.
With this video course, you will dig your teeth deeper into the hidden layers of abstraction using raw data. This course will offer you various complex algorithms for deep learning and various examples that use these deep neural networks. You will also learn how to train your machine to craft new features to make sense of deeper layers of data. During the video course, you will come across such topics as logistic regression, convolutional neural networks, recurrent neural networks, training deep networks, high level interfaces, and more.
With the help of new practical examples, you will become an ace in advanced multilayer networks, image recognition, and beyond.
Table of Contents:
– Getting Started
– Deep Neural Networks
– Convolutional Neural Networks
– Recurrent Neural Networks
– Wrapping Up
Producer: Packt Publishing
Language of instruction: English
Teacher: Dan Van Boxel
Level of training: Elementary, Secondary, Advanced
Training time: 2 hours +
File size: 439 MB