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Deep Learning Plunge into Deep Learning
English | Size: 1.08 GB
Category: Tutorial
Interested in the field of Machine Learning and Deep Learning? Then this course is for you!

This course is designed in a very simple and easily understandable content.

You might have seen lots of buzz on deep learning and you want to figure out where to start and explore.

This course is designed exactly for people like you!

If basics are strong, we can do bigger things with ease.

My focus in this course is to build complicated things starting from very basics

In this course, I will cover the following things

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

Are there any course requirements or prerequisites?

Just some high school mathematics level.
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