In the last post we have seen neural network with only two layers that is "Input layer" and "Output layer", which is like a logistic regression algorithm. However in this post we are going to code a Neural network with one more layer that is "hidden layer". You will learn how to: Implement a 2-class … Continue reading CODE A NEURAL NETWORK IN PLAIN NUMPY Part 2: Planar data classification with one hidden layer

# Day: February 8, 2020

## Code a Neural Network in plain NumPy: Part 1 (with no Hidden Layer)

You will learn to: Build the general architecture of a learning algorithm, including: Initializing parameters Calculating the cost function and its gradient Using an optimization algorithm (gradient descent) Gather all three functions above into a main model function, in the right order. Overview of the Problem set Problem Statement: You are given a dataset containing: … Continue reading Code a Neural Network in plain NumPy: Part 1 (with no Hidden Layer)