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Deep Learning Essentials
Quick TensorFlow Deep Learning Essentials
Overview and Learning Objectives
QTFS-1: Introduction to Using Colab
QTFS-2: Introduction to Tensors for TensorFlow (by Google)
QTFS-3: More on Tensor Ranks, Shapes and Dimensions
QTFS-4: Introduction to Convolutional Neural Networks (CNNs)
QTFS-5: Using Your Own Image Datasets (Updated!)
QTFS-6: Transfer Learning Workflows-in a Nutshell
Some Important Convolutional Neural Network Architectures
QTFS-7: Colab-LeNet-5 (Yann LeCun et. al.)
QTFS-8: Colab-AlexNet (Alex Krizhevsky et. al.)
QTFS-9: Colab-ResNet (Kaiming He et. al.)
QTFS-10: Discussion of CNN Architectures from LeNet-5 to AlexNet to ResNet
QTFS-11: Appendix A- Calculations Important to CNNs-Tensor Sizes and Layer Outputs
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QTFS-3: More on Tensor Ranks, Shapes and Dimensions
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