deeplizard teaches us how to normalize a dataset. We’ll see how dataset normalization is carried out in code, and we’ll see how normalization affects the neural network training process.
Content index:
OpenAI demonstrated what happens when you learn a language model on thousands of GitHub Python repositories
Yannic Kilcher talks about this code completion engine which can write an entire function from just the name.
Source Clip: https://youtu.be/fZSFNUT6iY8
Full Video: https://www.pscp.tv/Microsoft/1OyKAYWPRrWKb
deeplizard demonstrates how to process numerical data that we’ll later use to train our very first artificial neural network in this video.
In this video, deeplizard discusses GPU support for TensorFlow and the integrated Keras API and how to get your code running with a GPU.
deeplizard demonstrates how we can use the CUDA capabilities of PyTorch to run code on the GPU in this episode.
If you’re watching Billions and wonder what it would take to build out a bot to do all the trading for you, Computer Science posted this video about creating an algorithmic trading strategy Using Python
In BlueGranite’s recent webinar, you will see several examples of Python in action for data modeling and visualization in Power BI. You will also learn where and how Python fits into a Power BI development workflow.
You’ll also see how to balance Python with native Power BI functionality and determine what limitations must be considered when using Python in Power BI.
Jon Wood shows us some of the features in the Content Moderation service within the Cognitive Services.
Notebook used in the video is available on GitHub.
In this episode, deeplizard discusses the Keras integration with TensorFlow (tf.keras), compatibility requirements, and how to get Keras installed on your machine!
Computer Science posted a great video tutorial showing how to create a stock price prediction algorithm with Python & Machine Learning (LSTM).
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