Tips Tricks 20 - Understanding transfer learning for different size and channel inputs
22:48
Tips Tricks 21 - Understanding the keras-trained model saved as hdf5 (or h5)
28:20
235 - Pre-training U-net using autoencoders - Part 1 - Autoencoders and visualizing features
27:14
158 - Convolutional filters + Random Forest for image classification.
25:34
158b - Transfer learning using CNN (VGG16) as feature extractor and Random Forest classifier
20:50
91 - Introduction to transfer learning
31:28
Building a neural network FROM SCRATCH (no Tensorflow/Pytorch, just numpy & math)
14:59
Tutorial 28- Create CNN Model Using Transfer Learning using Vgg 16, Resnet
25:55