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Tensorflow Deep Learning Solutions for Images [Video]
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About this
video
Tensorflow is Google’s popular offering for machine learning and deep learning. It has quickly become a popular choice of tool for performing fast, efficient, and accurate deep learning. This course presents the implementation of practical, real-world projects, teaching you how to leverage Tensforflow’s capabilties to perform efficient deep learning.
In this video, you will be acquainted with the different paradigms of performing deep learning such as deep neural nets, convolutional neural networks, recurrent neural networks, and more, and how they can be implemented using Tensorflow.
This will be demonstrated with the help of end-to-end implementations of three real-world projects on popular topic areas such as natural language processing, image classification, fraud detection, and more. By the end of this course, you will have mastered all the concepts of deep learning and their implementation with Tensorflow and Keras.
Style and Approach
This course takes a step-by-step approach, helping you explore all the functioning of TensorFlow.
- Publication date:
- October 2017
- Publisher
- Packt
- Duration
- 1 hour 25 minutes
- ISBN
- 9781788396899
Download code from GitHub
Latest Reviews
(3 reviews total)
Review practical issues to deploy Docker-based Tensorflow-based image classification systems.
The Machine Learning part is minimal (confined to MNIST initial tutorial) - but this is ok as the key aspect of the material is on using deployment for training and prediction. This is well covered.
I still would have liked coverage of a bit more advanced vision models (semantic image segmentation for example).
Overall a useful review of the material.
4
A timely topic well coverd
4
Excellent service and amazing customer support staff!
5