Learn Artificial Neural Network From Scratch in Python

The MOST in-depth look at neural network theory, and how to code one with pure Python and Numpy

Code a neural network from scratch in Python and numpy

Learn the math behind the neural networks

Get a proper understanding of Artificial Neural Networks (ANN) and Deep Learning

Derive the backpropagation rule from first principles

Describe the various terms related to neural networks, such as "activation", "backpropagation" and "feedforward"

Learn to evaluate the neural network models

Basic math - some essential parts will be covered in the course itself so to make course bner friendlyLinear and Logistic RegressionBasic understanding of classification and Regression problems

If you're looking for a complete Course on Deep Learning using ANN that teaches you everything you need to create a Neural Network model in Python

You've found the right Neural Network course!

After completing this course you will be able to:

Identify the business problem which can be solved using Neural network Models.

Have a clear understanding of Advanced Neural network concepts such as Gradient Descent, forward and Backward Propagation etc.

Create Neural network models in Python and ability to optimize the model tuning hyper parameters

Confidently practice, discuss and understand Deep Learning concepts




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