How to use TensorFlow in PyCharm (TensorFlow Tip of the Week)

TensorFlow · Intermediate ·🧬 Deep Learning ·7y ago
Skills: ML Pipelines80%

Key Takeaways

This video demonstrates how to install and use TensorFlow in PyCharm, an integrated development environment (IDE), by setting up a virtual environment and installing necessary packages.

Original Description

It doesn’t take much to get TensorFlow running in an IDE like PyCharm. In this TensorFlow Tip of the Week, Laurence (@lmoroney) goes over installing PyCharm and other IDEs into a virtual environment. Let us know what you think in the comments below, and subscribe to the channel to stay up to date with the TensorFlow team! Want more content? Check out Coding TensorFlow → http://bit.ly/2zoZfvt Subscribe to the TensorFlow channel → http://bit.ly/TensorFlow1
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Playlist

Uploads from TensorFlow · TensorFlow · 56 of 60

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1 The TensorFlow YouTube Channel is Here!
The TensorFlow YouTube Channel is Here!
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 2 Answering Your TF Questions #AskTensorFlow
Answering Your TF Questions #AskTensorFlow
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 3 Chatting With the TensorFlow Community (TensorFlow Meets)
Chatting With the TensorFlow Community (TensorFlow Meets)
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 4 All About TensorFlow Code (Coding TensorFlow)
All About TensorFlow Code (Coding TensorFlow)
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 5 TensorFlow: an ML platform for solving impactful and challenging problems
TensorFlow: an ML platform for solving impactful and challenging problems
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 6 Keynote (TensorFlow Dev Summit 2018)
Keynote (TensorFlow Dev Summit 2018)
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 7 tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
tf.data: Fast, flexible, and easy-to-use input pipelines (TensorFlow Dev Summit 2018)
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 8 Eager Execution (TensorFlow Dev Summit 2018)
Eager Execution (TensorFlow Dev Summit 2018)
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 9 Machine Learning in JavaScript (TensorFlow Dev Summit 2018)
Machine Learning in JavaScript (TensorFlow Dev Summit 2018)
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 10 Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)
Training Performance: A user’s guide to converge faster (TensorFlow Dev Summit 2018)
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 11 The Practitioner's Guide with TF High Level APIs (TensorFlow Dev Summit 2018)
The Practitioner's Guide with TF High Level APIs (TensorFlow Dev Summit 2018)
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 12 Distributed TensorFlow (TensorFlow Dev Summit 2018)
Distributed TensorFlow (TensorFlow Dev Summit 2018)
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 13 Debugging TensorFlow with TensorBoard plugins (TensorFlow Dev Summit 2018)
Debugging TensorFlow with TensorBoard plugins (TensorFlow Dev Summit 2018)
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 14 TensorFlow Lite (TensorFlow Dev Summit 2018)
TensorFlow Lite (TensorFlow Dev Summit 2018)
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 15 Searching Over Ideas (TensorFlow Dev Summit 2018)
Searching Over Ideas (TensorFlow Dev Summit 2018)
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 16 Reconstructing Fusion Plasmas (TensorFlow Dev Summit 2018)
Reconstructing Fusion Plasmas (TensorFlow Dev Summit 2018)
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 17 Nucleus: TensorFlow toolkit for Genomics (TensorFlow Dev Summit 2018)
Nucleus: TensorFlow toolkit for Genomics (TensorFlow Dev Summit 2018)
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 18 Open Source Collaboration (TensorFlow Dev Summit 2018)
Open Source Collaboration (TensorFlow Dev Summit 2018)
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 19 Swift for TensorFlow - TFiwS (TensorFlow Dev Summit 2018)
Swift for TensorFlow - TFiwS (TensorFlow Dev Summit 2018)
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 20 TensorFlow Hub (TensorFlow Dev Summit 2018)
TensorFlow Hub (TensorFlow Dev Summit 2018)
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 21 Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018)
Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018)
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 22 Real-World Robot Learning (TensorFlow Dev Summit 2018)
Real-World Robot Learning (TensorFlow Dev Summit 2018)
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 23 TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018)
TensorFlow Extended (TFX) (TensorFlow Dev Summit 2018)
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 24 Project Magenta (TensorFlow Dev Summit 2018)
Project Magenta (TensorFlow Dev Summit 2018)
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 25 TensorFlow Dev Summit 2018 - Livestream
TensorFlow Dev Summit 2018 - Livestream
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 26 Introducing TensorFlow Lite (Coding TensorFlow)
Introducing TensorFlow Lite (Coding TensorFlow)
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 27 TensorFlow Dev Summit 2018 Highlights
TensorFlow Dev Summit 2018 Highlights
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 28 Jeff Dean, Head of AI at Google discusses the impact of ML (TensorFlow Meets)
Jeff Dean, Head of AI at Google discusses the impact of ML (TensorFlow Meets)
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 29 TensorFlow Mobile vs. TF Lite and More! #AskTensorFlow
TensorFlow Mobile vs. TF Lite and More! #AskTensorFlow
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 30 Using TensorFlow to enable research & production across many fields (TensorFlow Meets)
Using TensorFlow to enable research & production across many fields (TensorFlow Meets)
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 31 Teaching TensorFlow for Deep Learning at Stanford University (TensorFlow Meets)
Teaching TensorFlow for Deep Learning at Stanford University (TensorFlow Meets)
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 32 TensorFlow Lite for Android (Coding TensorFlow)
TensorFlow Lite for Android (Coding TensorFlow)
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 33 Using the tf.data API to build input pipelines (TensorFlow Meets)
Using the tf.data API to build input pipelines (TensorFlow Meets)
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 34 Training Models in the Cloud & the Benefits of AI Toolkits #AskTensorFlow
Training Models in the Cloud & the Benefits of AI Toolkits #AskTensorFlow
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 35 Execute operations immediately with TensorFlow's Eager Execution (TensorFlow Meets)
Execute operations immediately with TensorFlow's Eager Execution (TensorFlow Meets)
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 36 TensorFlow Lite for iOS (Coding TensorFlow)
TensorFlow Lite for iOS (Coding TensorFlow)
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 37 Get started with TensorFlow's High-Level APIs (Google I/O '18)
Get started with TensorFlow's High-Level APIs (Google I/O '18)
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 38 TensorFlow for JavaScript (Google I/O '18)
TensorFlow for JavaScript (Google I/O '18)
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 39 TensorFlow in production: TF Extended, TF Hub, and TF Serving (Google I/O '18)
TensorFlow in production: TF Extended, TF Hub, and TF Serving (Google I/O '18)
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 40 Get started with TensorFlow's High-Level APIs in 5 mins | Google I/O 2018
Get started with TensorFlow's High-Level APIs in 5 mins | Google I/O 2018
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 41 TensorFlow and deep reinforcement learning, without a PhD (Google I/O '18)
TensorFlow and deep reinforcement learning, without a PhD (Google I/O '18)
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 42 TensorFlow Lite for mobile developers (Google I/O '18)
TensorFlow Lite for mobile developers (Google I/O '18)
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 43 Advances in machine learning and TensorFlow (Google I/O '18)
Advances in machine learning and TensorFlow (Google I/O '18)
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 44 Distributed TensorFlow training (Google I/O '18)
Distributed TensorFlow training (Google I/O '18)
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 45 Classification using neural networks & ML regression models #AskTensorFlow
Classification using neural networks & ML regression models #AskTensorFlow
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 46 TensorFlow and Keras in R - Josh Gordon meets with J.J. Allaire (TensorFlow Meets)
TensorFlow and Keras in R - Josh Gordon meets with J.J. Allaire (TensorFlow Meets)
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 47 Focus on your experiment with TensorFlow Estimators (TensorFlow Meets)
Focus on your experiment with TensorFlow Estimators (TensorFlow Meets)
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 48 How to get started with AI/ML, retraining models, & more! #AskTensorFlow
How to get started with AI/ML, retraining models, & more! #AskTensorFlow
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 49 TensorFlow - the deep learning solution for mobile platforms (TensorFlow Meets)
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 50 MiniGo: TensorFlow Meets Andrew Jackson (TensorFlow Meets)
MiniGo: TensorFlow Meets Andrew Jackson (TensorFlow Meets)
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 51 The growth of TensorFlow with added support for JS & Swift (TensorFlow Meets)
The growth of TensorFlow with added support for JS & Swift (TensorFlow Meets)
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 52 At the intersection of TensorFlow & nuclear physics (TensorFlow Meets)
At the intersection of TensorFlow & nuclear physics (TensorFlow Meets)
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 53 NVidia TensorRT: high-performance deep learning inference accelerator (TensorFlow Meets)
NVidia TensorRT: high-performance deep learning inference accelerator (TensorFlow Meets)
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 54 Try TensorFlow.js in your browser (Coding TensorFlow)
Try TensorFlow.js in your browser (Coding TensorFlow)
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 55 TensorFlow Hub: reusing machine learning modules (TensorFlow Meets)
TensorFlow Hub: reusing machine learning modules (TensorFlow Meets)
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 ▶ How to use TensorFlow in PyCharm (TensorFlow Tip of the Week)
How to use TensorFlow in PyCharm (TensorFlow Tip of the Week)
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 57 Training models faster with TensorFlow Hub (TensorFlow Meets)
Training models faster with TensorFlow Hub (TensorFlow Meets)
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 58 Prepare your dataset for machine learning (Coding TensorFlow)
Prepare your dataset for machine learning (Coding TensorFlow)
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 59 Using ML to predict insulin use for Type 1 Diabetes (TensorFlow Meets)
Using ML to predict insulin use for Type 1 Diabetes (TensorFlow Meets)
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 60 TFX: an end-to-end machine learning platform for TensorFlow (TensorFlow Meets)
TFX: an end-to-end machine learning platform for TensorFlow (TensorFlow Meets)
TensorFlow

This video teaches how to get started with TensorFlow in PyCharm by installing the necessary packages and setting up a virtual environment. It's a great resource for those who want to use an IDE for their machine learning projects.

Key Takeaways
  1. Install PyCharm
  2. Create a new virtual environment
  3. Install TensorFlow in the virtual environment
  4. Configure PyCharm to use the virtual environment
  5. Run a TensorFlow project in PyCharm
💡 Using a virtual environment can help keep your machine learning projects organized and make it easier to switch between different versions of TensorFlow.

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