Gl Classroom Recordings

Artificial Intelligence with Python

4.7 (102 Ratings)


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About this course

This comprehensive course on ‘Artificial Intelligence’ covers all the basics of neural network-based models. Get a conceptual understanding of learning mechanisms such as Need and history of neural networks, gradient, forward propagation, loss functions and its implementation using python libraries. Learn some essential concepts related to deep neural networks that also work with Google's powerful library Tensorflow which comes with pre built Keras. We will be covering all theoretical and practical aspects of this subject, in-depth. Dive deeper into the mathematics behind each concept to understand their specifics. We will conclude with a neural network model for classification using MNIST data set. Learn its application on business or real-life problems in other domains.

Great Learning offers multiple Post Graduate Programs in the field of Artificial Intelligence. You can join India's #1 Ranked artificial intelligence course and earn a Postgraduate Certificate in the top-rated Artificial Intelligence and Machine Learning online course from Great Lakes in collaboration with the University of Texas. We aim to empower our learners with everything they need to succeed in their careers, resulting in 8000+ successful career transitions.

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Skills covered

  • Perceptron
  • ANN
  • Gradient
  • Backpropagation
  • Activation Functions
  • Softmax Function

Course Syllabus

Artificial Intelligence with Python

  • History behind neural networks
  • Relationship between biological neuron and artificial neuron
  • Perceptron and working mechanism
  • Architecture of artificial neural network
  • Types of activation functions
  • Softmax function
  • Forward propagation
  • Loss function
  • Demo using keras framework
  • Back propagation and gradient descent
  • Tensorflow 2.0
  • Demo on MNIST data set

Course Certificate

Get Artificial Intelligence with Python course completion certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

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