Tutorial – Frank's World of Data Science & AI

Deep Learning Python
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25 sec read

PyTorch Dataset Normalization

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:

0:00 Video Intro
0:52 Feature Scaling
2:19 Normalization Example
5:26 What Is Standardization
8:13 Normalizing Color Channels
9:25 Code: Normalize a Dataset
19:40 Training With Normalized Data

Neural Networks TensorFlow
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11 sec read

Data Processing for Neural Network Training with Keras with TensorFlow

deeplizard demonstrates how to process numerical data that we’ll later use to train our very first artificial neural network in this video.

Developer
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10 sec read

Regular Expressions in 100 Seconds

Fireship shows you how to use Regular Expressions, or RegEx, in 100 Seconds.

Grab the cheatsheet here https://fireship.io/lessons/regex-cheat-sheet-js/

AI Deep Learning TensorFlow
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12 sec read

TensorFlow and Keras GPU Support – CUDA GPU Setup

In this video, deeplizard discusses GPU support for TensorFlow and the integrated Keras API and how to get your code running with a GPU.

AI Python
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10 sec read

PyTorch on the GPU – Training Neural Networks with CUDA

deeplizard demonstrates how we can use the CUDA capabilities of PyTorch to run code on the GPU in this episode.

AI TensorFlow
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11 sec read

Keras Installation and TensorFlow Integration

In this episode, deeplizard discusses the Keras integration with TensorFlow (tf.keras), compatibility requirements, and how to get Keras installed on your machine!

Deep Learning TensorFlow
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31 sec read

Keras Prerequisites – Getting Started with Neural Networks

deeplizard has put together a course on how to use Keras.

In this course, we will learn how to use Keras, a neural network API written in Python! In this episode, we discuss the prerequisites required to start working with Keras, why Keras is a good library to learn, and what resources you’ll have available to ensure your success in this course.