Tensorflow 2.0 deep learning tutorial

Tensorflow 2.0 In depth learning course

Tensorflow The release is fast 4 Years. , The library has developed to the second official version .

Tensorflow It's Google's   Deep learning   and   Artificial intelligence library .

Deep learning has made some amazing achievements recently , for example ：

• Generate beauty 、 Realistic images of people and things （GAN）

• In the strategy game go and CS:GO and Dota 2（ Deep reinforcement learning ） And beat the world champion in complex video games

• Autopilot （ Computer vision ）

• speech recognition （ for example Siri） And machine translation （ natural language processing ）

• Even make videos of people doing and saying things they've never done （DeepFakes - The potential evil application of deep learning ）

English name of the course ：Tensorflow 2.0 Deep Learning and Artificial Intelligence

This video tutorial consists of 2.0 Hours , Chinese and English subtitles , The image quality is clear without watermark , All source code attachments

Download address

Baidu online address ：https://pan.baidu.com/s/1y7SBYWT65vrhu2v-8lxBLQ?pwd=buq3

Course is an introduction to ：https://www.aihorizon.cn/181

Course content

This course is suitable for students from elementary level to expert level .  How could this happen ？

If you just learned my free Numpy precondition , Then you know everything you need . We will start with some very basic machine learning models , Then enter the most advanced concepts .

In the process , You will learn about all the major deep learning architectures , For example, deep neural network 、 Convolutional neural networks （ The image processing ） And recurrent neural networks （ Sequence data ）.

Current projects include ：

• natural language processing (NLP)

• Recommendation system

• Transfer learning of computer vision

• Generative antagonistic network (GAN)

• Deep reinforcement learning Stock Trading Robot

Even if you have studied all my previous courses , You will still learn how to convert your previous code , So that it can be used Tensorflow 2.0, And there are new and never seen projects in this course , for example   Time series prediction   And how to do it   Stock forecast .

This course is designed for students who want to learn quickly , But there are also some " thorough " Part of , In case you want to study theory more deeply （ For example, what is the loss function , What are the different types of gradients ？ Descent method ）.

senior TensorFlow Topics include ：

• Use Tensorflow Serving Deployment model   （ In the clouds Tensorflow）

• Use Tensorflow Lite  （ Mobile and embedded applications ） Deployment model

• Use the distribution strategy to distribute Tensorflow Training

• Write your own customization Tensorflow Model

• take Tensorflow 1.x Code conversion to Tensorflow 2.0

• Constant 、 Variables and tensors

Computer subtitle video tutorial network https://www.aihorizon.cn Continuous updating Udemy,Coursera Wait for video tutorials in online classes , Categories cover AI 、 machine learning 、 programing language 、 Game development 、 Network security 、 Cloud computing 、Linux Operation and maintenance 、 All knowledge of computer science such as interview skills .

All video tutorials contain Chinese and English subtitles 、 Exercise source code and supporting supplementary materials .