170 - AutoKeras for structured data classification using the Wisconsin breast cancer data set
AutoKeras is an AutoML system based on Keras. The goal of AutoKeras is to make machine learning accessible for everyone. It suggests the best machine learning model by fitting data to various models and hyperparameters.
This video explains the use of AutoKeras for structured data classification.
Installation instructions: https://autokeras.com/
Code generated in the video can be downloaded from here:
https://github.com/bnsreenu/python_for_microscopists
Видео 170 - AutoKeras for structured data classification using the Wisconsin breast cancer data set канала DigitalSreeni
This video explains the use of AutoKeras for structured data classification.
Installation instructions: https://autokeras.com/
Code generated in the video can be downloaded from here:
https://github.com/bnsreenu/python_for_microscopists
Видео 170 - AutoKeras for structured data classification using the Wisconsin breast cancer data set канала DigitalSreeni
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
171 - AutoKeras for image classification using cifar10 data set[AI] Binary classification using tensorflow keras175 - Speeding up ML training using PCA - Breast cancer data set exampleAutoKeras - Machine Learning To Find The Best Neural Network And ParametersAutoML with Auto-Keras (14.1)How to Use AutoKeras for RegressionAutomatic Machine LearningBuilding a recommendation system using deep learning181 - Multivariate time series forecasting using LSTMMarI/O - Machine Learning for Video GamesA Complete Guide to AutoKerasDiagnosing breast cancer with AI // Coding for Medicine #3Machine Learning with No CodeNaive Bayes, Clearly Explained!!!My review of the 'Automated Machine Learning with AutoKeras' bookDeep-learning in Health care || Image Classification using(VGG16)?How Chevron is using AutoML Vision to find informationNeural Network Regression Model with Keras | Keras #3Loading in your own data - Deep Learning basics with Python, TensorFlow and Keras p.2