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Tensorflow 2.0 Deep Learning and Artificial Intelligence

Original price was: $21.00.Current price is: $8.00.

Price: 8.00 USD | Size: 6.80 GB | Duration : 22.09+ Hours
BRAND: Expert TRAINING | ENGLISH | INSTANT DOWNLOAD

Description

Price: 8.00 USD | Size: 6.80 GB | Duration : 22.09+ Hours

BRAND: Expert TRAINING | ENGLISH | INSTANT DOWNLOAD

 

 

Tensorflow 2.0 Deep Learning and Artificial Intelligence

“Advanced TensorFlow 2.0 Deep Learning and AI Training”

Description

Tensorflow 2.0: Deep Learning and Artificial Intelligence one course from the website Udemy, which is on artificial intelligence and deep learning focuses and topics such as neural networks for computer vision., the prediction time series, etc. , NLP , etc. GAN, learning, reinforcement, and Tensorflow to you train. Tensorflow a Google library for artificial intelligence and deep learning, which is its second edition, recently published. Deep learning recently, to the achievements of an important in the field of cars, drones, etc., speech recognition, etc. GAN and NLP is reached, and learning it can be the future you will completely change.

If you want the science of deep learning to shape professional use need with Tensorflow familiar. During this course. structures of important deep learning include neural networks and … neural network design, and neural network recursive discussed and tutorials are placed and how to process the images, and the sequence of positioning data can be explained. Lecturer the course will also provide you with the library Tensorflow familiar works, and the method of distribution models, using variables, and other applications Tensorflow shows.

Cases in which the course is taught

  • Introduction to artificial neural networks and deep
  • Predicting stock returns
  • Computer vision
  • Prediction time series
  • NLP and GAN
  • Detection of sound and images
  • Natural language processing,
  • Complete familiarity with Tensorflow
  • The make, model, DeepDream, and local storage objects

Prerequisite course Tensorflow 2.0: Deep Learning

  • Know how to code in Python and Numpy
  • For the theoretical parts, understand derivatives and probability

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