MATLAB, model based design
Model-Based Design is founded on eight core concepts: • Executable specification A model that encapsulates design requirements at a specific level of detail. • System-level simulation The practice of simulating a model of the system to investigate system...
data mining, Deep Learning
Kaggle is a platform for data sciences developer. It is based on two programming languages, Python and R . It has many outstanding features : You can find and use dataset in your machine learning application. You can find datasets in the link...
Computer, Deep Learning, image processing
Jag är en pythonprogrammerare. Jag har fyra års erfarenhet av python. Jag är redo att acceptera Python-projektet. Keras, TensorFlow, Scipy, Numpy, Konstgjort neuralt nätverk i Python, Bildbehandling i Python, OpenCV, Pybrain, Matplotlib, Scikit-Learn , Pandas...
data mining, Deep Learning
The Jupyter notebook is a great friend of the data scientist. It allows the user to write code and create visualizations of data all in the same tab on their browser. It is included in the standard distribution of Anaconda, and can be launched from the command line...
data mining, Deep Learning
1. Division. Python 3 does floating point division between two integers if you specify the division with two slashes (//). However, if we want Python 2 to do floating point division by default , we can use the handy function: >> from__future__ import division...
Computer, data mining, Deep Learning
1. Study the company 2. Understand how the company makes money 3. Dress slightly above how you expect the company dresses 4. Practice interviewing (have someone else quiz you) and be able to answer why you would be a good fit at that company 5. Have questions ready...
Deep Learning, image processing
An autoencoder is an unsupervised algorithm for generating efficient encodings. The input layer and the target output is typically the same. The layers between decrease and increase in the following fashion: The bottleneck layer is the middle layer with a reduced...
Deep Learning, image processing
Approximate nearest neighbour oh yeah (ANNOY) is a method for faster nearest neighbour search. ANNOY builds trees by random projections. The tree structure makes it easier to find the closest matches. You can create an ANNOYIndex for faster retrieval as shown here:...
Deep Learning, image processing
The retrieval can be slow because it’s a brute-force method. Matching can be made faster using approximate nearest neighbor. The curse of dimensionality also kicks in, as shown in the following figure: With every increasing dimension, complexity increases as the...
Deep Learning, image processing
NumPy’s linalg.norm is useful for computing the Euclidean distance. The similarity between the query image and target database can be computed between the images by calculating the Euclidean distances between the features as shown here: dist =...
