stanford-cs229 VS TensorFlow-Examples

Compare stanford-cs229 vs TensorFlow-Examples and see what are their differences.

stanford-cs229

🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford (by zyxue)

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) (by aymericdamien)
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stanford-cs229 TensorFlow-Examples
8 2
0 43,225
- -
0.8 0.0
almost 3 years ago 3 months ago
Jupyter Notebook Jupyter Notebook
- GNU General Public License v3.0 or later
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stanford-cs229

Posts with mentions or reviews of stanford-cs229. We have used some of these posts to build our list of alternatives and similar projects.

TensorFlow-Examples

Posts with mentions or reviews of TensorFlow-Examples. We have used some of these posts to build our list of alternatives and similar projects.
  • Keras vs. TensorFlow
    1 project | dev.to | 6 Jun 2021
    A linear regression model
  • Tensorman and RTX 30-Series GPU's
    1 project | /r/pop_os | 19 Mar 2021
    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?

When comparing stanford-cs229 and TensorFlow-Examples you can also consider the following projects:

cs229-solution - CS229 Solution (summer 2019, 2020).

lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)

cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

graphkit-learn - A python package for graph kernels, graph edit distances, and graph pre-image problem.

cs229-2018-autumn - All notes and materials for the CS229: Machine Learning course by Stanford University

pyVHR - Python framework for Virtual Heart Rate

coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

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]