Intro to Deep Learning

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What is Deep Learning?

Deep learning is a sub-field of machine learning that processes algorithms inspired by the structure and function of the brain, called artificial neural networks. Can be confused. I know that I was confused at first. Many of my colleagues and friends learned and used neural networks in the 1990s and early 2000s. Leaders and experts in this field have ideas about what deep learning is. And these specific and subtle points of view will reveal a lot of understanding of the entire content of deep learning.

Why to learn in strydo?

Enhance your skill set and boost your hirability through innovative, independent learning. Accelerate your career with the credential that fast-tracks you to job success. Ideal for those beginning a career in data science. Master the tools and methods of data analysts. Ideal for those searching for a general purpose programming language. Learn a programming language designed with data science in mind

Syllabus

Intro To Deep Learning

INTRODUCTION

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– MP neuron and perceptron
– Activation function(relu,sigmoid etc)
– Gradient descent and the backpropagation algorithm.
– Optimizer(Adam,SGD,adagard)
– Unit saturation,

Convolutional Neural Networks

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–  Architectures, convolution / poolinglayers
–  Transfer learning  using pretrained model

Recurrent Neural Networks

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–  LSTM, GRU
–  Encoder Decoderarchitectures
– Attention and memory models
–  Dynamic memory networks

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