According to Forbes Magazine, James Harris Simons has a fortune of $ 20 billion (actual information). He built it using mathematics. According to Forbes Magazine, James Harris Simons has a fortune of $ 14 billion He built it using mathematics. Simons also worked for the Government as a top-secret codebreaker. This knowledge of modeling and […]
Read MoreForbes: According to Forbes Magazine, James Harris Simons has a fortune of $ 20 billion He built it using mathematics
An autoencoder is a type of artificial neural network used to learn efficient data codings in an unsupervised manner. The aim of an autoencoder is to learn a representation (encoding) for a set of data, typically for dimensionality reduction. Recently, the autoencoder concept has become more widely used for learning generative models of data. Some […]
Read MoreAutoencoders: neural networks in the fight against plagiarism – effective autoencoders
If following the codelabs for Retrain an Image Classifier for New Categories (CNN network) – retrein.py (https://github.com/tensorflow/hub/raw/master/examples/image_retraining/retrain.py) training worked fine but when you runned the script label_image.py (https://github.com/tensorflow/tensorflow/raw/master/tensorflow/examples/label_image/label_image.py) to evaluate a image: python -m scripts.label_image \ –graph=tf_files/retrained_graph.pb \ –image=tf_files/flower_photos/daisy/21652746_cc379e0eea_m.jpg and You’ve got the following error: The name ‘import/input’ refers to an Operation not in the […]
Read MoreSolved: Tensorflow’s bug: label_image.py returns error during classification
The pharmaceutical industry has recently begun using deep-learning techniques to detect drugs and predict the effects of new toxins, and the analyzes carried out prove that these methods far outweigh the effectiveness of traditional screening tests https://www.frontiersin.org/articles/10.3389/fenvs.2015.00080/full
I’d like to present solution regarding application Machine Learning in NLP (Natural Language Processing) for opinion mining from practical point of view. Opinion mining (sometimes known as sentiment analysis or emotion AI) refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective […]
Read MoreMachine Learning in NLP (Natural Language Processing) in practice – part I
