Deep Learning : Plunge into Deep Learning
Deep Learning : Plunge into Deep Learning
Learn to create Deep Learning models starting from basics
In this course, the following things are covered
Session 1 – Introductory material on Deep learning, its applications and significance.
Session 2 - Introduces the fundamental building block of deep learning
Session 3 – Logistic Regression, Activation Functions, Perceptron, One Hot Encoding, XOR problem and Multi-Layer Perceptron models
Session 4 – Training of Neural Networks: Cross Entropy, Loss Function, Gradient descent Algorithm, Non-Linear Models, Feed Forward, Backward propagation, Overfitting problem, Early stopping, Regularization, drop out and Vanishing Gradient problem.
Session 5 – Convolution Neural Networks: Feature Extraction, Convolution Layer, Pooling Layer, Relu, Flattening and Deep Convolution Neural Networks.
Session 6 – Sequence Models: Recurrent Neural Networks, LSTMs
2.5 hours on-demand video
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