Description
Complete Guide to TensorFlow for Deep Learning with Python Video Tutorials Delphi and C++ Builder TensorFlow for Deep Learning with Python from Udemy Website. This course will guide you through how to use the Google TensorFlow framework to build artificial neural networks for deep learning, guiding you., This course will help guide you through the complexity of the TensorFlow Google framework in an easy to understand way, These courses balance theory and practical implementation. TensorFlow library software is provided open source for numerical computation with the use of flow charts. Nodes in the diagram represent mathematical operations. While the edges of the graph represent array data, the next thing they interact with is the array. Its flexible architecture allows you to assign APIs to compute on one or more CPUs or GPUs in a desktop, server or mobile device.
Feature Curation, The Complete Guide to Tensorflow for Deep Learning with Python:
- Understand how neural networks work
- Build personalized neural networks from scratch with Python
- Learn how to teach OpenAI to strengthen readiness
- Build Adversarial Generative Network with TensorFlow
- Use TensorFlow for classification and regression tasks
- Use TensorFlow to solve the learning problem, Not protected With autoencoders
- Use TensorFlow to classify images with convolutional neural networks
- Use TensorFlow for time series analysis with neural networks
Profile courses:
- Duration time: 14 hours 9 minutes
- language English
- Number of courses: 96
- Instructor: Jose Portilla
Course Topics:
Requirements
- Some knowledge of programming (preferably Python)
- Some basic knowledge of mathematics (mean, standard deviation, etc..)
Images
Sample Film
installation Guide
Your custom view after extract with the player.
Subtitles: English
Quality: 720p
Change:
Version 2018/11 has an increased number of lessons to 16 compared to 2018/1. Subtitles added simultaneously.
Reduce time by about 1 minute compared to version 2019/9 2018/11.
In version 2020/4 there is no change in the number of courses and total time compared to 2019/9, but the size has increased by about 200 MB.
download link
Password File(s): free download software
file size
2.08 GB