Abel Keya abel-keya

🏠

Working from home

Data Scientist/Robotics Hobbyst,

abel-keya / ULN2003-28BYJ-48.ino

Created March 29, 2022 07:05 — forked from samirsogay/ULN2003-28BYJ-48.ino

	int bluePin = 2; //IN1 on the ULN2003 Board, BLUE end of the Blue/Yellow motor coil
	int pinkPin = 3; //IN2 on the ULN2003 Board, PINK end of the Pink/Orange motor coil
	int yellowPin = 4; //IN3 on the ULN2003 Board, YELLOW end of the Blue/Yellow motor coil
	int orangePin = 5; //IN4 on the ULN2003 Board, ORANGE end of the Pink/Orange motor coil
	//going up
	//Keeps track of the current step.
	//We'll use a zero based index.
	int currentStep = 0;

	void setup() {

abel-keya / classifier_from_little_data_script_3.py

Created April 16, 2020 21:37 — forked from fchollet/classifier_from_little_data_script_3.py

Fine-tuning a Keras model. Updated to the Keras 2.0 API.

	'''This script goes along the blog post
	"Building powerful image classification models using very little data"
	from blog.keras.io.
	It uses data that can be downloaded at:
	https://www.kaggle.com/c/dogs-vs-cats/data
	In our setup, we:
	- created a data/ folder
	- created train/ and validation/ subfolders inside data/
	- created cats/ and dogs/ subfolders inside train/ and validation/
	- put the cat pictures index 0-999 in data/train/cats

abel-keya / classifier_from_little_data_script_2.py

Created April 16, 2020 21:37 — forked from fchollet/classifier_from_little_data_script_2.py

Updated to the Keras 2.0 API.

	'''This script goes along the blog post
	"Building powerful image classification models using very little data"
	from blog.keras.io.
	It uses data that can be downloaded at:
	https://www.kaggle.com/c/dogs-vs-cats/data
	In our setup, we:
	- created a data/ folder
	- created train/ and validation/ subfolders inside data/
	- created cats/ and dogs/ subfolders inside train/ and validation/
	- put the cat pictures index 0-999 in data/train/cats

abel-keya / classifier_from_little_data_script_1.py

Created April 16, 2020 21:36 — forked from fchollet/classifier_from_little_data_script_1.py

Updated to the Keras 2.0 API.

	'''This script goes along the blog post
	"Building powerful image classification models using very little data"
	from blog.keras.io.
	It uses data that can be downloaded at:
	https://www.kaggle.com/c/dogs-vs-cats/data
	In our setup, we:
	- created a data/ folder
	- created train/ and validation/ subfolders inside data/
	- created cats/ and dogs/ subfolders inside train/ and validation/
	- put the cat pictures index 0-999 in data/train/cats