Installation
To install ZenGrad, run the following command:
pip install zengrad-tensorflow
Implementation
from zengrad_tensorflow import ZenGrad # Import the ZenGrad optimizer
# Define your preferred model architecture here (e.g., CNN, ResNet, LSTM, Transformer, etc.)
# Example:
# model = ...
# Compile your model using ZenGrad
model.compile(
optimizer=ZenGrad(learning_rate=0.01, weight_decay=1e-4), # <---- In This Way
.......
)
License
ZenGrad_TensorFlow is released under the Apache License 2.0.
Metadata
Release files for zengrad-tensorflow 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| zengrad_tensorflow-0.0.2.tar.gz | 2.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| zengrad_tensorflow-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.4 kB
Release files / zengrad_tensorflow-0.0.2.tar.gz
| Download URL | zengrad_tensorflow-0.0.2.tar.gz |
|---|---|
| Size | 2.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b630222aee5c4227aef5dee99d6fbcdc62c59b4c752cc7ffa2c8dc11ae567f5a
|
|
BLAKE2b-256 checksum How to use checksums |
9ea59ad48b0373743a1103316bd48a1a28b058debc43e9c6cd55733ae501f790
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.4
|
Release files / zengrad_tensorflow-0.0.2-py3-none-any.whl
| Download URL | zengrad_tensorflow-0.0.2-py3-none-any.whl |
|---|---|
| Size | 2.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f3df5e4644bcd48f4de81b65108a02171bd5716d0ae3f44a053b3f05c4a55abe
|
|
BLAKE2b-256 checksum How to use checksums |
f066fb0aa88006b9eb359e0fc8ffccf53598f22855c9ee61b8dd424f48f1fcce
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.4
|