Keras - Python Deep Learning Neural Network API

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Build image classifier using transfer learning - Fine-tuning MobileNet with Keras

June 4, 2018 by


Now that we’ve seen what MobileNet is all about in our last video, let’s talk about how we can fine-tune the model via transfer learning and and use it on another dataset. We’ll also be walking through the implementation of this in code using Keras, and through this process we’ll get exposed to Keras’ Functional API. Pre-requisite videos: Fine-tuning a Neural Network explained Fine-tune VGG16 Image Classifier with Keras | Part 1: Build Fine-tune VGG16 Image Classifier with Keras | Part 2: Train Fine-tune VGG16 Image Classifier with Keras | Part 3: Predict Image preparation for CNN Image Classifier with Keras Code: Code files are available as a perk for the deeplizard hivemind. Check out the details regarding deeplizard perks and rewards at: Follow deeplizard: YouTube: Twitter: Facebook: Steemit: Instagram: Pinterest: Support deeplizard on Patreon: Checkout products deeplizard suggests on Amazon: Support deeplizard by browsing with Brave: Support deeplizard with crypto: Bitcoin: 1AFgm3fLTiG5pNPgnfkKdsktgxLCMYpxCN Litecoin: LTZ2AUGpDmFm85y89PFFvVR5QmfX6Rfzg3 Ether: 0x9105cd0ecbc921ad19f6d5f9dd249735da8269ef Recommended books on AI: The Most Human Human: What Artificial Intelligence Teaches Us About Being Alive: Life 3.0: Being Human in the Age of Artificial Intelligence Playlists: Data Science - Machine Learning - Keras - Music: Laser Groove by Kevin MacLeod Chillin Hard by Kevin MacLeod Investigations by Kevin MacLeod Thinking Music by Kevin MacLeod YouTube: Website: Licensed under Creative Commons: By Attribution 3.0 License