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This comprehensive course on Deep Learning is all about understanding and implementing models based on neural networks. Learn some basic concepts such as need and history of neural networks, gradient, forward propagation, loss functions and its implementation from scratch using python libraries. Understand the essential concepts of deep neural networks that collaborate with Google's powerful library TensorFlow which comes with pre built Keras. We will dive deeper into the mathematics behind each of these concepts to understand them fully. In the end, conclude with a neural network model for classification using MNIST data set. Learn how the same concepts can be applied to business and real-life problems in other domains.
Skills covered :ANN , Tensorflow,Keras,Gradient,Backpropagation
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: firstname.lastname@example.org
Great Lakes E-Learning Services Pvt. Ltd.
Learners who successfully complete this course will get a free Certificate of Completion from Great Learning.