Complete Guide to TensorFlow for Deep Learning with Python video tutorial Delphi and C ++ Builder TensorFlow to deep learning with Python from the website Udemy is. This course will take you through how to use the framework TensorFlow Google to create artificial neural networks to deep learning, guidance, does. This course will help you to guide to easy the complexity of the framework TensorFlow Google in a way that is easy to understand. These courses balance theory and practical implementation is designed. TensorFlow library software open source for numerical computation, with the use of flow charts is given. The nodes in the diagram represent mathematical operations are. While the edges of the graph, represents the array data, the next few are that they interact. Its flexible architecture allows you to make calculations to one or more CPU or GPU in the desktop, server or mobile device with an API to assign.
Feature period, The Complete Guide to TensorFlow for Deep Learning with Python :
- Understand how neural networks work
- Build neural network personal from scratch with Python
- Learn how to teach OpenAI to strengthen readiness
- Create networks Adversarial Generating with TensorFlow
- Use TensorFlow for the tasks of classification and regression
- Use TensorFlow to solve the problem of learning, not protected with AutoEncoders
- Use TensorFlow to classify the image with neural network Convolutional
- Use TensorFlow for time series analysis with neural networks frequent
Profile courses :
- Duration Time : 14h 9m
- Language : English
- Number of courses: 96
- Instructor : Jose Portilla
The course topics :
- Some knowledge of programming (preferably Python)
- Some basic knowledge of math (mean, standard deviation, etc..)
After the Extract with the Player your custom view.
Version 2018/11 compared to 2018/1 the number of 16 lessons has increased. Subtitle added together.
Version 2019/9 compared to 2018/11 about 1 minute, reduce the time.
Version 2020/4 compared to 2019/9 change in the number of courses and the total time is not, but the size is about 200 MB, it increased.
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