Transfer Learning with TensorFlow

From the creator

I'll livestream code and explain everything you could want to know about Transfer Learning using TensorFlow. Transfer learning occurs when you take a model trained to perform a certain task and reuse it to perform another task. Often enormous resources are required to train a model to do a sophisticated task. If you can find a model that was trained on a related task you can cut your development time. In this video I'll cover all of the following Live : ✳️ Transfer Learning ✳️ TensorFlow Hub ✳️ Multi-Class Convolutional Neural Networks ✳️ Downloading & Processing Data ✳️ Activation ✳️ Pooling ✳️ Optimizing Performance ✳️ Minimizing Overfitting ✳️ Augmenting Images ✳️ ResNet ✳️ EfficientNet ✳️ Much More! Code is Here : https://github.com/derekbanas/tensorflow/blob/main/tf_transfer.ipynb MY UDEMY COURSES ARE 87.5% OFF TIL July 16th ($9.99) https://www.udemy.com/ ➡️ Python Data Science Series for $9.99 : Highest Rated & Largest Python Udemy Course + 56 Hrs + 200 Videos + Data Science https://bit.ly/Master_Python_35 ➡️ New C++ Programming Bootcamp Series for $9.99 : Over 23 Hrs + 53 Videos + Quizzes + Graded Assignments + New Videos Every Month https://bit.ly/C_Course_35

Published 2022-06-08 · Watch on YouTube ↗
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