Все публикации

0:10:21

Evaluating Gemini 1.5: Tackling Complex Time-Series Fall Detection with Long Contexts

0:05:14

Machine Learning vs Deep Learning: Explained with a Simple Linear Regression Example!

0:03:27

Addressing AI Concerns: Separating Facts from Fears

0:37:39

Visual Quality Assessment of Multimedia Based on Machine Learning

0:15:02

How to Extract Bottleneck Features from Pretrained Networks VGG16, Resnet50 and Xception - Python

0:06:52

How to Generate 32x32 Patches from A Grayscale Image - Python

0:17:58

Create Augmented Data Using Albumentations Library in Python

0:13:50

Optical Flow Maps Using OpenCV in Python

0:07:48

Curve Fitting Plots in Python

0:09:12

Data Analysis Using Violin Plots and Bar Plots of Seaborn Library - Python

0:21:30

Classification Evaluation Metrics of Sklearn: AUC-ROC, Confusion Metrix and Classification Report

0:18:46

Regression or Classification - An Experiment on MNIST Dataset – Python | Part 01

0:09:24

GridSearchCV - Tune Hyperparameters in Classification on MNIST Dataset – Python | Part 02

0:11:13

Prepare Features and Save in CSV File – Python | Part 01

0:08:27

Prepare Features and Save in CSV File – Python | Part 02

0:06:43

Train a Deep Autoencoder Network on MNIST dataset in Keras and Record duration of Training - Python

0:02:38

Save a trained model using ModelCheckpoint in Keras - Python

0:06:42

Write a Deep Autoencoder Network in Keras - Python

0:05:49

Read MNIST Images Based on Wave and Zigzag Orders in Python

0:08:53

Load and Read MNIST Images in Python

0:14:53

Access an array in zig-zag order and write the output in .mat file in Python

0:14:27

Access an array in wave order and write the output in .mat file in Python

0:10:38

How to visualize output filters from a pretrained model VGG16 in Keras

0:12:13

How to convert input shapes between different layers in Keras - Python