Tag: Jupyter Notebook

Processing and Showing Images in Jupyter Notebook

This jupyter notebook shows how to process and showing images. First, load all the necessary modules for image processing. import numpy as np import os import six.moves.urllib as urllib from PIL import Image import cv2 import matplotlib.pyplot as plt %matplotlib inline Here, we define the directories from where the images are loaded. ROOT_DIR = ‘/Users/sparrow/Learning/machine-learning/the-eye’ […]

Object Detection Using Already Trained Models

In this jupyter notebook, we will try two different model: SSD Mobilenet trained on COCO dataset and Faster RCNN model trained on Resnet dataset. Object Detection using ssd_mobilenet_v2_coco_2018_03_29 and faster_rcnn_inception_resnet_v2_atrous_lowproposals_oid_2018_01_28 We need several utilities from tensorflow/model repo. The repo can be found here. Download the repo and add the path of research and research/object_detection to […]

Use timeseries data for predicting weather

Weather forecast in Germany This notebook was adopted from Hvass-Labs’s timeseries tutorial. In this notebook, we will try to predict weather for near future. For testing, I am going to use weather data collected for the city Wiesbaden, as I live here now. The data is collected from Climate Data Center (CDC) of Deutscher Wetterdienst. […]

Use timeseries data for predicting weather using Tensorflow

Weather forecast in Germany This notebook implements a deep learning network to work on time series data. This is an adoptation of my another notebook where I implemented a RNN to predict weather forecast in Wiesbaden, Germany. Here I used the same data, just the network is a deep learning network instead of RNN. The […]

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