Description
Deep learning is a subfield of machine learning that is a set of algorithms inspired by the brain’s structure and function.
The Deep Learning market size is estimated to be worth $18.16 billion by the end of 2023. That means the market is growing at a rapid rate of 41 percent from 2018 to 2023. Deep learning is getting used in all sectors – healthcare, fintech, e-commerce. As per Glassdoor, the average salary of a Deep learning engineer is $136K.
TensorFlow and Keras are the two most popular frameworks used in Deep Learning.TensorFlow is an open-source machine learning framework that Google has created. It used to design, build, and train deep learning models. It offers easy model building irrespective of the language or platform you are using.
Topics Covered
Introduction to Deep learning fundamentals
Fundamentals of Keras and TensorFlow
Keras models
Keras callbacks
Artificial Neural Network
Gradient Descent
Stachastic Gradient descent From Fully connected layer to convolution
Convolution for images
Padding and stride
Relu
Pooling
Fully connected Neural network
RNN Intuition
Implementation of RNN
Back Propagation through time
Modern RNN
Boltzmann Machine Intuition
Implementation of Boltzmann Machine
Contrastive divergence
Deep Boltzmann machine
Autoencoders training
Type of autoencoders