TensorFlow-Tutorials
Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
| TensorFlow-Tutorials | Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions | |
|---|---|---|
| 2 | 1 | |
| 9,280 | 2,284 | |
| 0.0% | 2.6% | |
| 0.0 | 0.0 | |
| over 4 years ago | about 2 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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TensorFlow-Tutorials
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Probabilistic forecasting
"deep neural network" https://github.com/Hvass-Labs/TensorFlow-Tutorials
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Plagiarism is just bad
The majority of this code is taken from the TensorFlow-Tutorials. I highly recommend them to those who want to get started with TensorFlow.
Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions
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Best Reinforcement Learning course?
You should also consider solving the problems, but here is the solutions in case you are stuck with some problem.
What are some alternatives?
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Data_Structures_and_Algorithms_in_Python - :book: Worked Solutions of "Data Structures & Algorithms in Python", written by Michael T. Goodrich, Roberto Tamassia and Michael H. Goldwasser. ✏️
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Machine-Learning-Specialization-Coursera - Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition