Все публикации

0:50:35

YOLO Version One from Scratch

0:18:25

YOLOv4 DarkNet & YOLOv5 PyTorch Inference

0:34:13

Pytorch, Node and Flutter Complete App

0:22:19

From TensorFlow to Express & FireBase

0:11:58

Cats&Dogs PT 7: Model Training for PyTorch model

0:07:19

Cats&Dogs PT 6: Pretrained Model .init

0:07:31

Cats&Dogs PT 5: Visualizations and Albumentations Lambda

0:06:05

Cats&Dogs PT 4: Cats & Dogs DataLoader

0:13:29

Cats&Dogs PT 3: Pytorch Custom Dataset

0:06:37

Cats&Dogs PT 2: Importing Libraries and Setting Seed

0:03:16

Cats&Dogs PT 1: Kaggle API Configuration & Data loading

0:06:05

Cats&Dogs TF 7: Custom Model Training

0:12:22

Cats&Dogs TF 6: Cardinality Split and Pretrained Model .init

0:07:48

Cats&Dogs TF 5: Visualizations and Albumentations Lambda

0:07:39

Cats&Dogs TF 4: Sequential TensorFlow Dataset .map

0:11:26

Cats&Dogs TF 3 (continued): TensorFlow Dataset Transformation

0:06:31

Cats&Dogs TF 3: Input Pipeline Initialization with tf.data.Dataset

0:08:00

Cats&Dogs TF 2: Libraries import and Setting Seed

0:05:57

Cats&Dogs 1: Kaggle API Configuration and Data Loading

0:15:22

Densenet architecture

0:20:38

Mobilenet architecture

0:21:38

ResNext architecture

0:20:41

ResNet Architectures 18, 34, 50, 101 & 152

0:16:48

GoogleNet Architecture