Skip to content
Hallway
0:00 / 0:00

#tensorflow#inception#image-classification

Build a TensorFlow Image Classifier in 5 Min

Siraj Raval

768K subscribers • 9 videos on Hallway

YouTube
  • Recommended by 1 person: 1 on Stack Overflow and its sister sites.
  • Presented by Siraj Raval
  • Linked in the descriptionllSourcell/tensorflow_image_classifier
  • May be out of date. The tools, versions or practices it shows have likely moved on.

Beginner. No background in the topic needed.

875K views10 years ago1 recommendation

AI and machine learningNeural networks and deep learningComputer vision

Siraj Raval demonstrates how to retrain a pre-trained Inception model using TensorFlow to build a custom image classifier.

In this episode we're going to train our own image classifier to detect Darth Vader images. The code for this repository is here: github.com/llSourcell/tensorflow_image_classifier I created a Slack channel for us, sign up here: wizards.herokuapp.com/ The Challenge: The challenge for this episode is to create your own Image Classifier that would be a useful tool for scientists. Just post a clone of this repo that includes your retrained Inception Model (label it output_graph.pb). If it's too big for GitHub, just upload it to DropBox and post the link in your GitHub README. I'm going to judge all of them and the winner gets a shoutout from me in a future video, as well as a signed copy of my book 'Decentralized Applications'. This CodeLab by Google is super useful in learning this stuff: codelabs.developers.google.com/codelabs/tensorflow-for-poets… This Tutorial by Google is also very useful: tensorflow.org/versions/r0.9/how_tos/image_retraining/index.… This is a good informational video: youtube.com/watch?v=VpDonQAKtE4 Really deep dive video on CNNs: youtube.com/watch?v=FmpDIaiMIeA I love you guys! Thanks for watching my videos and if you've found any of them useful I'd love your support on Patreon: patreon.com/user?u=3191693 Much more to come so please SUBSCRIBE, LIKE, and COMMENT! :) edit: Credit to Clarifai for the first conv net diagram in the video Follow me: Twitter: twitter.com/sirajraval Facebook: facebook.com/sirajology Instagram: instagram.com/sirajraval/ Instagram: instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content! Join my AI community: chatgptschool.io/ Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): wagergpt.xyz

Why it's here

1 person recommends this

What people say. Recommended as a quick introduction to retraining an image classifier using transfer learning with TensorFlow.

Arijeet Patidaron Stack Overflow • Recommends

On “Detect if image has a watermark?”

You can do it via image classification. Basically, train a CNN(Convolutional neural Network) model by feeding in some images with watermark and some without watermark in it and then use this model to judge the probability of watermark in any new image. You can apply transfer learning on some existing pre-trained models(as of today inception v3 is the best out there) which can be retrained for your specific classification purpose. For example this link shows how to do it to identify whether an image is that of a sunflower or a daisy or a rose. https://www.tensorflow.org/tutorials/image_retraining Here is a quick 5 minute tutorial about building a tensorflow image classifier: link to this video
6View the answer