Enhanced Deep Residual Networks for single-image super-resolution
Understanding Gradient Clipping (and How It Can Fix Exploding Gradients Problem) - neptune.ai
Simple and efficient data augmentations using the Tensorfow tf.Data and Dataset API
TensorFlow AutoGraph for .NET. TensorFlow 2.x has three mode of graph… | by Haiping Chen | SciSharp STACK | Medium
Image Augmentation with TensorFlow - Megatrend
Optimizer clipvalue and clipnorm not working in Tensorflow 2.0 · Issue #33929 · tensorflow/tensorflow · GitHub
tensorflow/clip_ops.py at master · tensorflow/tensorflow · GitHub
Yes you should understand backprop | by Andrej Karpathy | Medium
Using clip_by_value anywhere in the model graph (including in a metric) produces a model which cannot be saved as h5. · Issue #34690 · tensorflow/tensorflow · GitHub
A Step-by-Step Guide to Synthesizing Adversarial Examples
TF-Coder: Program Synthesis for Tensor Manipulations
Breaking Deep Learning with Adversarial examples using Tensorflow – CV-Tricks.com
Simple and efficient data augmentations using the Tensorfow tf.Data and Dataset API
Using clip_by_value anywhere in the model graph (including in a metric) produces a model which cannot be saved as h5. · Issue #34690 · tensorflow/tensorflow · GitHub
Understand tf.clip_by_global_norm(): Clip Values of Tensors - TensorFlow Tutorial
Writing a custom data augmentation layer in Keras | by Lak Lakshmanan | Towards Data Science