Deal of the day.. discount 91% on the pack of deep learning and artificial intelligence

  • Package boot to Deep Artificial Intelligence, The Deep Learning and Artificial Intelligence Introductory Bundle.
  • Number of Sessions: 4
  • Number of lessons: 111
  • Duration: 11 hours
  • Time access content: life.
  • Help this package to learn the basics of deep learning, how to create a form of machine learning that can learn from multiple inputs.
  • You’ll also learn how to use probability theory to make more accurate predictions, how to use the Python programming language Python in the application of the linear regression of the multi-dimensional forecasting, how to use deep learning for facial expression, as well as understanding how to make decisions based on data.
  • You will then proceed to learn advanced concepts in deep learning, starting from the basics of TensorFlow, the وTheano, and understand how to build neural networks using these tools, learn the techniques of the rate of adaptive learning, such as:AdaGrad وRMSprop.
  • Language: English.
  • Availability: online.
  • The original price before discount: $ 480.
  • The current price after discount: $ 39.
  • Discount percentage: 84%.
  • Get page: of here.

Systems use artificial intelligence today in medicine, the development of robots, sensors, remote, and even at ATMs, and marketing, so it is artificial intelligence one of the areas most exciting, and will give you this package is a powerful introduction to you.

In the recent period; the increased rate of demand for jobs related to the disciplines of artificial intelligence, robotics, and machine learning, as noted by a survey done by the position Hired for employment to increase demand for these jobs by up to 38%.

You can take advantage of the increased demand job on these disciplines and develop your skills to get through the training package in deep learning and artificial intelligence (The Deep Learning and Artificial Intelligence Introductory Bundle) with discount up to 91%.

Usually up the price of this package to $ 480, but today we offer you the chance to get it for $ 39 only, i.e., at a discount of up to 91 percent of the normal price; that for a limited time visitors to the gate Arab News Technical.

Related topics what you read now:

This package lets you access for life to 4 sessions of training, divided into 111 lesson, more than 11 hours of training content, to help you in identifying the most important elements of these modern technologies.

Will help you this package in learning basics deep learning – is a set of powerful algorithms that can be used to predict the number of an almost unlimited of future results in any environment – as well as how to create a form of machine learning that can learn from multiple inputs.

You’ll also learn how to use probability theory to make more accurate predictions, how to use the Python programming language Python in the application of the linear regression of the multi-dimensional forecasting, the application of logistic regression – one of the most basic techniques used in machine learning, science, data, and statistics – and how to use deep learning for facial expression, as well as understanding how to make decisions based on data.

You will then proceed to learn advanced concepts in deep learning, starting from the basics of TensorFlow, the وTheano, and understand how to build neural networks using these tools, learn the techniques of the rate of adaptive learning, such as:AdaGrad وRMSprop.

Include the package also practical applications such as: application of neural network using the library TensorFlow Google predicted the user’s actions on the web site through giving user data to neural network, similar to what Google do.

The following are the training courses contained in this package:

  • Deep Learning Prerequisites: Linear Regression in Python
  • Deep Learning Prerequisites: Logistic Regression in Python
  • Data Science: Deep Learning in Python
  • Data Science: Practical Deep Learning in Theano & TensorFlow

Get page: of here.

Leave a Reply

Your email address will not be published. Required fields are marked *