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{ | |
"cells": [ | |
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"cell_type": "markdown", | |
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"source": [ | |
"## Short Opencv Exercise for counting money\n", | |
"Just a random exercise " | |
] | |
}, |
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{ | |
"cells": [ | |
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"cell_type": "markdown", | |
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"source": [ | |
"# Autonomous driving - Car detection\n", | |
"\n", | |
"Welcome to your week 3 programming assignment. You will learn about object detection using the very powerful YOLO model. Many of the ideas in this notebook are described in the two YOLO papers: Redmon et al., 2016 (https://arxiv.org/abs/1506.02640) and Redmon and Farhadi, 2016 (https://arxiv.org/abs/1612.08242). \n", | |
"\n", |
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{ | |
"cells": [ | |
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"# Convolutional Neural Networks: Application\n", | |
"\n", | |
"Welcome to Course 4's second assignment! In this notebook, you will:\n", | |
"\n", |
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{ | |
"cells": [ | |
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"# Convolutional Neural Networks: Step by Step\n", | |
"\n", | |
"Welcome to Course 4's first assignment! In this assignment, you will implement convolutional (CONV) and pooling (POOL) layers in numpy, including both forward propagation and (optionally) backward propagation. \n", | |
"\n", |
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"nbpresent": { | |
"id": "eff3a02c-cf13-4c08-b2b3-df48c676159c" | |
} | |
}, | |
"source": [ |
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"# Hey all!\n", | |
"## Coursera's Machine Learning course- Exercise 4\n", | |
"<br>\n", | |
"This is the 4th exercise of the course concerning building of neural networks from scratch.<br>\n", |
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"# Exercise 2- Andrew NG Machine Learning Course\n", | |
"## Hey all!\n", | |
"This is the second task from Andrew NG course of machine learning concerning simple **logistic** regression.\n", | |
"I implemented the exercise in python but the original implementation is in MATLAB.\n", |
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"# Naive Bayes Classifier\n", | |
"## Spam emails classifier\n", | |
"\n", | |
"Hello all, I wanted to build a spam classifier based on the naive bayes classifier.<br>\n", |
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"# Elipse detector through DL neural network\n", | |
"## Hey, this is my solution for the task.<br>\n", | |
"First we are going to build are dataset according to the guidelines given.\n", | |
"<br>\n", |
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"cells": [ | |
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"# Exercise 1- Andrew NG Machine Learning Course\n", | |
"## Hey all!\n", | |
"This is the first task from Andrew NG course of machine learning concerning simple linear regression.\n", | |
"I implemented the exercise in python but the original implementation is in MATLAB.\n", |