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534,249 Views • Apr 25, 2022 • Click to toggle off description
So...you wanna build your own image classifier eh? Well in this tutorial you're going to learn how to do exactly that...FROM SCRATCH using Python, Tensorflow and Keras. But best yet, you can do it on virtually any dataset. Go on, give it a go!
Links
Sigmoid Activation: en.wikipedia.org/wiki/Sigmoid_function
Relu Activation: en.wikipedia.org/wiki/Rectifier_(neural_networks)
Image Downloader Extension: chrome.google.com/webstore/detail/download-all-ima…
Conv2D Layer: www.tensorflow.org/api_docs/python/tf/keras/layers…
MaxPooling Layer: keras.io/api/layers/pooling_layers/max_pooling2d/
Chapters
0:00 - Start
0:28 - Explainer
1:19 - PART 1: Building a Data Pipeline
3:08 - Installing Dependencies
8:30 - Getting Data from Google Images
23:12 - Load Data using Keras Utils
33:22 - PART 2: Preprocessing Data
35:56 - Scaling Images
42:23 - Partitioning the Dataset
47:34 - PART 3: Building the Deep Neural Network
48:21 - Build the Network
1:02:32 - Training the DNN
1:06:37 - Plotting Model Performance
1:09:50 - PART 4: Evaluating Perofmrnace
1:10:38 - Evaluating on the Test Partition
1:13:59 - Testing on New Data
1:20:39 - PART 5: Saving the Model
1:21:08 - Saving the model as h5 file
1:24:43 - Wrap Up
Oh, and don't forget to connect with me!
LinkedIn: bit.ly/324Epgo
Facebook: bit.ly/3mB1sZD
GitHub: bit.ly/3mDJllD
Patreon: bit.ly/2OCn3UW
Join the Discussion on Discord: 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
Views : 534,249
Genre: Science & Technology
Date of upload: Apr 25, 2022 ^^
Rating : 4.957 (130/11,993 LTDR)
RYD date created : 2024-05-21T22:28:19.2058Z
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YouTube Comments - 596 Comments
Top Comments of this video!! :3
This. Was. AMAZING!
Oh my gosh. Thank you for such for this tutorial. I've been wanting to get into machine learning for so long, but never knew where to start or how to work these models. With how long this video was and how excellent your commentary was, it helped so much!
I plan to watch a ton of your videos about creating some more models.
22 |
I really love these longer tutorials. You explained things so well in this one that I feel like AI development finally clicked for me, not just in terms of this specific application, but also in general. I would understand if you'd be worried about length vs entertainment, but honestly you teach so well and you are so enthusiastic I don't think that should even be a concern. Thank you so much! :)
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Thanks a lot Nick! I like how you skim through the mathematical concepts behind your code. Very informative! I'm watching the whole playlist :)
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As a non coder person I instantly subscribed because of the simplicity you showed by your teaching skills. Thanks man, love to see more content from you.
45 |
Absolutely brilliant. I will use this structural approach in my third paper for my PhD. Thanks so much
2 |
Hello Nick, thank you for this awesome tutorial, I learned a lot. I was wondering if you published another tutorial with more classes involved? (at 13:01) Thanks
42 |
This is truly a fantastic tutorial. I had a working model in just a few hours. I didn't realize it could be done that quickly! Thank you!
4 |
Wow! It was awesome. I built my first CNN architecture with the help of this video.
1 |
Your detailed explanation has led me to a better understanding of the matter... Thank you...
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Amazing job on these videos! Would love to see a tutorial featuring 9 or more classes, thanks! :yougotthis:
25 |
Amazing Tutorial, highly underrated channel, will share this with my friends.
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This was an amazing tut for a beginner like me. Thank you man... Great Explaination and Great Visualisation. Each part of your code was explained perfectly.
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Would love to see some more stuff on deep reinforcement learning! :)
4 |
Awesome video. Love the way you explained all of the steps in great common sense detail. 5 Stars 😊
|
This tutorial is live savior. Recently I am doing my thesis on medical image processing and this video is an absolute guideline. Thanks a ton Nicholas :3
12 |
Its rare to see someone explain in detail every step of the way! Great tutorial!
5 |
Realmente increíble, muy explicativo paso a paso y es de los pocos tutoriales que puedes seguir sin tener ninguna complicación.
Gracias por compartir con todos.
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I love your videos, keep it up! I would like for you to make a video explaining about how to handle false positives with objects we don't want to detect.
2 |
Thanks man, exactly how i will like to learn. Everypart of the code explained and visualised. No assumption ☺
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@marti-nz
1 year ago
This tutorial is amazing, not only are instructions easy to follow but sufficient explanation is provided so I know why each line of code was added. Great Job!
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