Decision tree regression using Ada-Boost with scikit-learn

By Value ML

Introduction In machine learning, we use boosting methods to make the training data sequential and fit it sequentially or we can say we train our model sequentially. Generally, we .... Read More

Polynomial interpolation using scikit-learn and Python

By Value ML

Introduction Whenever we plot our final result after linear regression it is not confirmed that the result will be a straight line. What will happen if that line is having some mul.... Read More

Image augmentation techniques with TensorFlow 2.0.


A deep learning model generally works efficiently when it is provided with a huge amount of data for training. But gathering such a vast data has its own challenges like every time.... Read More

Semantic and Instance Segmentation with PixelLib

By Amanpreet Singh

In this tutorial, we will learn how to do semantic and instance image segmentation with help of the PixelLib library. Image Segmentation Some computer vision challenges need a more.... Read More

Sound classsification with YAMNet

By Amanpreet Singh

In this tutorial, we will learn how to load and use the YAMNet model as an inference to classify cat and dogs sound. What is YAMNet? The MobileNetV1 depthwise-separable convolution.... Read More

Data preprocessing using tf.keras.utils.image_dataset_from_directory

By Amanpreet Singh

In this tutorial, we will learn about image preprocessing using tf.keras.utils.image_dataset_from_directory of Keras Tensorflow API in Python. This tutorial explains the working of.... Read More

Text Generation with Transformers (GPT-2)

By Amanpreet Singh

In this tutorial, we will learn how to generate text from the input sentence with the help of Open AI GPT2 using Gradio Interface. Introduction: Text  Generation Text generation i.... Read More

Object Detection from a video with YOLOv3 in Python

By Deepesh Singh

In recent years, deep learning approaches have achieved high-level results for object recognition. YOLO predicts the bounding box coordinates and class probabilities for these boxe.... Read More

Skin Cancer Detection using ResNet50

By Amanpreet Singh

In this tutorial, we’ll use Resnet50 with Keras TensorFlow in the backend to try to identify seven distinct types of skin cancer, then examine the results to see how the mode.... Read More

What is the TensorFlow machine intelligence platform?

By Shreyas Kishor Kulkarni

TensorFlow is an open-source software library for calculating numbers using data flow graphs. It was originally founded by the Google Brain Team within the Google Machine Intellige.... Read More