Getting Started with Python Deep Learning for Beginners

Not too sure where or how to start?

In this video, you’ll learn how to setup your machine and begin using some of the most common tools and libraries when it comes to deep learning. You’ll go from absolute beginner to successfully running your own image classification model by the end of this tutorial.

Get the Code https://github.com/nicknochnack/ImageClassification

Links
Anaconda: https://www.anaconda.com/products/distribution
Git: https://git-scm.com/download/win
Venv Documentation: https://docs.python.org/3/library/venv.html
Tensorflow CUDA/cuDNN Versions: https://www.tensorflow.org/install/source_windows#gpu
CUDA 11.2: https://developer.nvidia.com/cuda-11.2.0-download-archive
cuDNN Archive: https://developer.nvidia.com/rdp/cudnn-archive
Visual Studio 2019: https://visualstudio.microsoft.com/vs/older-downloads/

Chapters
0:00 – Start
1:58 – PART 1: Setting up Python and Jupyter with Anaconda
3:38 – Installing Anaconda
7:38 – Working with Jupyter
12:32 – PART 2: Environment Creation Workflows
13:44 – Working with Git and GitHub
19:12 – Creating Environments for DL
24:11 – Activating a Virtual Environment
32:05 – PART 3: Installing Tensorflow for Deep Learning
39:23 – Running the Image Classifier Pipeline
41:32 – PART 4: Configuring your GPU
57:06 – PART 5: Training a Deep Image Classifier

Oh, and don’t forget to connect with me!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!
#deeplearning #python

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