Tag: TensorFlow

Sparsity in INT8: Training Workflow and Best Practices for NVIDIA TensorRT Acceleration
Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch
New State-of-the-Art Quantized Models Added in TF Model Garden
Get Started With the NVIDIA DeepStream SDK
Introduction to TFRecords
PyTorch vs TensorFlow: Deep Learning Framework Comparison
Real-Time Object Detection with DeepStream on Nvidia Jetson AGX Orin
Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN) – PyImageSearch
The practical guide for Object Detection with YOLOv5 algorithm
Top Machine Learning Frameworks used by Data Scientists
NVIDIA Announces TensorRT 8.2 and Integrations with PyTorch and TensorFlow
Fast Neural Network Training with Distributed Training and Google TPUs
Get Started: DCGAN for Fashion-MNIST
GoEmotions: A Dataset for Fine-Grained Emotion Classification
Model analysis tools for TensorFlow
Train your machine learning models on any GPU with TensorFlow-DirectML
Why TinyML Is Such A Big Deal
Netron: Visualizer for neural network, deep learning, and machine learning models
Data augmentation with tf.data and TensorFlow
A gentle introduction to tf.data with TensorFlow
Deepface: Lightweight face recognition and facial attribute analysis framework
How TensorFlow helps Edge Impulse make ML accessible to embedded engineers
Hyperlib: Deep learning in the Hyperbolic space
Hyperparameter tuning for Deep Learning with scikit-learn, Keras, and TensorFlow
PerceptiLabs: TensorFlow-based visual modeling tool
Variational Autoencoder in TensorFlow

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