The description
Complete Guide to TensorFlow for Deep Learning with Python Delphi and C++ Builder video tutorial TensorFlow for Deep Learning with Python from Udemy website is. This course will teach you how to use the Google TensorFlow framework to create artificial neural networks for deep learning, orientation, actions. This course will help you get to grips with the complexity of the Google TensorFlow framework in an easy-to-understand way.. These courses balance theory and practical implementation is designed. The open source software of the TensorFlow library for numerical computation, with the use of flowcharts is given. The nodes in the diagram represent mathematical operations. While the edges of the chart represent the data in the chart, the next few are that they interact. Its flexible architecture lets you perform computations on one or more CPUs or GPUs in the desktop, server, or mobile device with an API to assign.
Feature Period, TensorFlow’s Complete Guide to Deep Learning with Python:
- Understand how neural networks work
- Build a personal neural network from scratch with Python
- Learn to teach OpenAI to build readiness
- Building Adversarial Generating Networks with TensorFlow
- Use TensorFlow for classification and regression tasks
- Use TensorFlow to solve the learning problem, unprotected with AutoEncoders
- Use TensorFlow to classify image with Convolutional Neural Network
- Use TensorFlow for Time Series Analysis with Frequent Neural Networks
Profile course:
- Duration Time: 14h 9m
- French language
- Number of lessons: 96
- Instructor: Jose Portilla
Course subjects:
Terms
- Some programming knowledge (preferably Python)
- Some basic knowledge of mathematics (mean, standard deviation, etc.)
Pictures
sample movie
Installation guide
After extracting with the player, your custom view.
Subtitles: English
Quality: 720p
Changes:
Version 2018/11 compared to 2018/1 the number of 16 lessons has increased. Subtitle added together.
2019/9 version compared to 2018/11 about 1 minute, reduce time.
The 2020/4 version compared to 2019/9 changes the number of courses and the total time is not, but the size is about 200MB, it has increased.
Download link
Password file(s): ngaur.com
File size
2.08 GB