DEEP LEARNING WITH PYTHON

Introduction to Deep Learning

What is a neural network?

Supervised Learning with Neural Networks - Python

How Deep Learning is different from Machine Learning

Overview of Machine Learning Concepts

What is Machine Learning?

Supervised Machine Learning algorithms

K-Nearest Neighbors (KNN) concept and application

Naive Bayes concept and application

Logistic Regression concept and application

Classification Trees concept and application

Unsupervised Machine Learning algorithms

Clustering with K-means concept and application

Hierarchial Clustering concept and application

Deep Learning Models

Restricted Boltzmann Machines

Deep Belief Nets

Convolutional Networks

Recurrent Nets

Autoencoders

Building Deep Learning Neural Networks

Deep L-layer neural network

Forward Propagation in a Deep Network

Building blocks of deep neural networks

Parameters vs Hyperparameters

Hands on Case Study

Deep Learning Use Cases

Deep Neural Network - Application