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Deep Learning : Neural Networks with Python

Deep Learning : Neural Networks with Python

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What you'll learn

  • Introduction to Deep Learning
  • Softwares & Libraries for Neural Network
  • Summary of python
  • Artificial Neural Network (ANN)
  • ANN Implementation
  • Convolution Neural Network (CNN)
  • Recurrent Neural Network (RNN)
  • Handson Projects

Requirements

  • Students in machine learning, deep learning, artificial intelligence, and data science
  • Professionals in machine learning, deep learning, artificial intelligence, and data science

Description

Neural Networks are computing systems vaguely inspirited by the biological neural networks that constitute animal brains. An ANN is based on collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. In this you will learn how to solve numerical based datasets, image, text, time series data set with the artificial neural network, convolution neural network and recurrent neural network with Python. Learn Handson by doing 3 projects in this course. All the code file and datasets included in this course. 

Who this course is for:

  • Anyone who is interested to Learn Deep Learning

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