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9/17/2020
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Tensorflow 2.0: Deep Learning and Artificial Intelligence is a training course from Udemy that focuses on artificial intelligence and in-depth learning and covers topics such as neural networks for computer vision, time series prediction, NLP, GAN, booster learning, and Tensorflow. Teaches you. Tensorflow is a Google library for artificial intelligence and deep learning, the second version of which has just been released. Deep learning has recently achieved significant breakthroughs in drones, speech recognition, GAN and NLP, and learning it can completely change your future.
If you want to apply deep learning science professionally, you need to get acquainted with Tensorflow. During this training course, important deep learning structures including deep neural network, torsional neural network, and recursive neural network are discussed and taught, and how images are processed and data sequenced. The instructor will also introduce you to the Tensorflow library and teach you how to distribute models, use variables, and other applications of Tensorflow.
Familiarity with artificial and deep neural networks
Predicting stock returns
Computer vision
Time series prediction
NLP and GAN
Sound and image recognition
Natural language processing
Familiarity with Tensorflow
Build a DeepDream model and localize objects
English language
Duration: 20h 52m
Number of courses: 127
Level of education: Intermediate
Instructor: Lazy Programmer Team, Lazy Programmer Inc
File format: mp4
Know how to code in Python and Numpy
For the theoretical parts, understand derivatives and probability
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
Changes:
Version 2020/2 has reduced the number of lessons by 6 lessons and about 20 minutes compared to 2019/10. But it has increased in size by about 150 MB.
Version 2020/4 has increased by 2 lessons and about 6 minutes compared to 2020/2.
Version 2020/6 has increased by 1 lesson and 3 minutes compared to 2020/4.
Version 2020/7 has increased by 1 lesson and 4 minutes compared to 2020/6.
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