This library creates a cnn architecture for deep learning using user defined hyperparameters

Usage:

from DL_auto_cnn import create_model ‘’’create a model’’’ model=create_model() #Print model summary

model.summary()

model.fit(xxxxx)

Change Log

0.0.1 (19/10/2020)

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for DL-auto-cnn 0.0.1
File	Size	Uploaded
DL_auto_cnn-0.0.1.tar.gz	2.7 kB	Oct 19, 2020	Details

Download URL	DL_auto_cnn-0.0.1.tar.gz
Size	2.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`433137c198cc52eb7d221fbd572dbb6f27afa7920eca2ca49779fc0642c4f18a`
BLAKE2b-256 checksum How to use checksums	`5097f8b26593c0c5867d8b57b1f28f17f2c609035d5ada1ba6bee21112a7da67`
Upload date	Oct 19, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0.post20200714 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.3`

This release

0.0.1 This release