Implementation questions about machine learning algorithms.
I am trying to implement multivariate linear regression in Python using TensorFlow, but have run into some logical and implementation …
python machine-learning linear-regression tensorflowI use KerasClassifier to train the classifier. The code is below: import numpy from pandas import read_csv from keras.…
python machine-learning kerasI am trying to understand the role of the Flatten function in Keras. Below is my code, which is a …
machine-learning tensorflow neural-network deep-learning kerasTensorFlow MNIST example not running with fully_connected_feed.py I checked this out and realized that input_data was …
python import machine-learning tensorflow mnisthttp://xgboost.readthedocs.org/en/latest/python/python_intro.html On the homepage of xgboost(above link), it says: To …
python python-2.7 installation machine-learning xgboostI'm only beginning with keras and machine learning in general. I trained a model to classify images from 2 classes and …
python machine-learning keras computer-visionI have a simple NN model for detecting hand-written digits from a 28x28px image written in python using Keras (…
python machine-learning neural-network keras theanoupdate: this question is related to Google Colab's "Notebook settings: Hardware accelerator: GPU". This question was written before the "TPU" …
python machine-learning gpu ram google-colaboratoryI've been developing an internal website for a portfolio management tool. There is a lot of text data, company names …
algorithm machine-learning nlp spell-checking text-searchIn most of the models, there is a steps parameter indicating the number of steps to run over data. But …
machine-learning tensorflow