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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.
Skills covered :Perceptron ,ANN,Gradient,Backpropagation,Activation Functions,Softmax Function
No prior knowledge is required. Students/working professionals from all backgrounds can enrol.
Internet with access to desktop or laptop or Great Learning App (Android, iOS)
Name: Great Learning Team
Mobile Number: +91 – 6366837460
Email ID: email@example.com
Great Lakes E-Learning Services Pvt. Ltd.
Learners who successfully complete this course will get a free Certificate of Completion from Great Learning.