book
TensorFlow-Examples
| book | TensorFlow-Examples | |
|---|---|---|
| 2 | 2 | |
| 183 | 43,236 | |
| 0.0% | - | |
| 2.7 | 0.0 | |
| 12 months ago | 3 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | GNU General Public License v3.0 or later |
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book
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[P] Using Sparsity & Clustering to compress your models: Efficient Deep Learning Book
We now have a new chapter focusing on sparsity and clustering, two advanced compression techniques that you can use to reduce the footprint of your model (size, latency, etc.) while retaining your model accuracy. You can read the chapter here, and go through the accompanying codelabs here.
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[P] Efficient Deep Learning Book
The goal is to introduce these ideas in a single place, without having to parse many papers, try to get a working code sample, and then spend time debugging. With the accompanying codelabs, we hope that our readers can make their models 4-20x smaller, faster, and better in quality.
TensorFlow-Examples
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Keras vs. TensorFlow
A linear regression model
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Tensorman and RTX 30-Series GPU's
When I run this simple project, the log output is below. There is a 5-minute pause at 16:48. There is a second pause at the end of the script before the output of the example (final output excluded). This project runs quickly if I exclude "--gpu" and run it on the CPU.
What are some alternatives?
DeepLearningExamples - State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
rikai - Parquet-based ML data format optimized for working with unstructured data
graphkit-learn - A python package for graph kernels, graph edit distances, and graph pre-image problem.
pyVHR - Python framework for Virtual Heart Rate
TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos
Deep-Learning-Hardware-Benchmark - This repository contains the proposed implementation for benchmarking in order to evaluate whether a setup of hardware is feasible for deep learning projects.
rmi - A learned index structure
Deep-Learning-With-TensorFlow-Blog-series - All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow [Moved to: https://github.com/Rishit-dagli/Deep-Learning-With-TensorFlow]
TF_JAX_tutorials - All about the fundamental blocks of TF and JAX!
models - A collection of pre-trained, state-of-the-art models in the ONNX format
single-parameter-fit - Real numbers, data science and chaos: How to fit any dataset with a single parameter