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