Skip to content Skip to sidebar Skip to footer

Deep Learning : Neural Networks with Python

Deep Learning : Neural Networks with Python


Learn Handson project implementation on ANN, CNN & RNN Keras is a powerful and easy-to-use free open source Python library for developing and evaluating deep learning models. It wraps the efficient numerical computation libraries Theano and TensorFlow and allows you to define and train neural network models in just a few lines of code.New

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


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


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

Online Course CoupoNED
Online Course CoupoNED I am very happy that there are bloggers who can help my business

Post a Comment for "Deep Learning : Neural Networks with Python"

Subscribe via Email