Variable-Length Sequences in TensorFlow Part 1: Optimizing

We analyze the impact of sequence padding techniques on model training time for variable-length text data.

Optimizing Peptides in TensorFlow 2 — The TensorFlow Blog

Variable-Length Sequences in TensorFlow Part 3: Using a Sentence-Conditioned BERT Encoder - Carted Blog

Learn TensorFlow. Pass the TF Developer Certificate Exam. Get Hired.

A guide to an efficient way to build neural network architectures- Part II: Hyper-parameter selection and tuning for Convolutional Neural Networks using Hyperas on Fashion-MNIST, by Shashank Ramesh

Variable Sequence Length Training for Long-Context Large Language Models - Cerebras

The Functional API

Optimizing Performance: Unveiling the Impact of Patience Values on Machine Learning Models, by Dr. Shouke Wei

Energies, Free Full-Text

tf.data: Build TensorFlow input pipelines

Variable-Length Sequences in TensorFlow Part 2: Training a Simple BERT Model - Carted Blog

Optimized Deep Learning Pipelines: Protobufs

Optimizing TensorFlow Training Time for Better Performance, by Sascha Heyer

Constructing Transformers For Longer Sequences with Sparse Attention Methods – Google Research Blog

Classifying videos with varying length using ConvLSTM2D in tensorflow - Data Science Stack Exchange

Carted Blog