Remote Team World(@RemoteTeamWorld) 's Twitter Profile Photo

List of Top Python Modules

- NumPy
- SQLAlchemy
- Celery
- Scikit-learn
- Pandas
- Tkinter
- Pillow (PIL Fork)
- TensorFlow / PyTorch
- Matplotlib
- pytest

[Explore More In the Post]

List of Top Python Modules

- NumPy
- SQLAlchemy
- Celery
- Scikit-learn
- Pandas
- Tkinter
- Pillow (PIL Fork)
- TensorFlow / PyTorch
- Matplotlib
- pytest

[Explore More In the Post]
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Real Python(@realpython) 's Twitter Profile Photo

🐍📰 PyTorch vs TensorFlow for Your Python Deep Learning Project

PyTorch vs Tensorflow: Which one should you use? Learn about these two popular deep learning libraries and how to choose the best one for your project

realpython.com/pytorch-vs-ten…

🐍📰 PyTorch vs TensorFlow for Your Python Deep Learning Project

PyTorch vs Tensorflow: Which one should you use? Learn about these two popular deep learning libraries and how to choose the best one for your project

realpython.com/pytorch-vs-ten…
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Abhishek(@HeyAbhishekk) 's Twitter Profile Photo

Building A Brain in 10 Minutes

Discover the biology behind the first neural networks.

You’ll learn:

• How neural networks learn from data
• Building and training a neuron model with TensorFlow 2

learn.nvidia.com/courses/course…

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Sahil(@zambani_sahil) 's Twitter Profile Photo

Lately I was messing around with tensorflow.js and react and made this small tool for hand recognition this seems cool.

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TensorFlow - Scikit-Image(@Rodrigo23988422) 's Twitter Profile Photo

Otavio Barros Se algum estado quiser separar do Bananistao...ainda mais os estados que geram PIB...SP, SC, PR, RS...a hora é essa...EB sucateado e tem medo de molhar o pé...talvez a PF tenha um efetivo mais preparado, mas muito baixo, se tiver duvidando do que eu estou relatando...olha isso👇

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Jesús López(@jsulopzs) 's Twitter Profile Photo

Steps to develop any Machine Learning model with Scikit-Learn and Tensorflow.

1. Fit: Computing the best numbers for a mathematical equation
2. Predict: Using the equation to calculate predictions
3. Score/Evaluate: Comparing the predictions against reality

Steps to develop any Machine Learning model with Scikit-Learn and Tensorflow.

1.  Fit: Computing the best numbers for a mathematical equation
2.  Predict: Using the equation to calculate predictions
3.  Score/Evaluate: Comparing the predictions against reality
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Sinyalistik(@sinyalistik) 's Twitter Profile Photo

SİNYAL SONRASI %30🚀🚀🚀

➡️ SANIRIM ARTIK İNDİKATÖRÜ ANLATMAMA GEREK YOK🔥🔥🔥

➡️ BU VE BUNUN GİBİ SİNYALLER İÇİN TAKİP ET !!!

➡️ FIRSATLARI KAÇIRMA💸💸💸

#TNSR SİNYAL SONRASI %30🚀🚀🚀

➡️ SANIRIM ARTIK İNDİKATÖRÜ ANLATMAMA GEREK YOK🔥🔥🔥

➡️ BU VE BUNUN GİBİ SİNYALLER İÇİN TAKİP ET !!!

➡️ FIRSATLARI KAÇIRMA💸💸💸

#altcoins #Notcoin #Bitcoin #TensorArt #TensorFlow #kripto
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Mator Design(@MatorDesign) 's Twitter Profile Photo

Our recent Robotics & AI Bootcamp was truly an unforgettable experience. We introduced teenagers to Computer Vision and Convolutional Neural Networks.

Our students practically trained their AI models to detect & classify objects in TensorFlow.

Our recent Robotics & AI Bootcamp was truly an unforgettable experience. We introduced teenagers to Computer Vision and Convolutional Neural Networks.

Our students practically trained their AI models to detect & classify objects in TensorFlow.
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