An overview on Deep Learning with a brief introduction on why we need artificial neural networks to solve our day-to-day problems. As a part of it, we touch upon Linear Regression, Support Vector Machines. This video also elaborates the process and intricacies of learning like backpropagation algorithm, various optimizers for Deep Learning and how to avoid overfitting of the model. Towards the end, a short hands-on tutorial for building a model using Tensorflow and Keras for MNIST- Handwritten digit recognition is presented.Link to documentation:
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