linear regression

14th February 2023

Logistic Regression in TensorFlow

Logistic Regression is a popular machine-learning algorithm that is used for classification tasks. In this tutorial, we will learn how to implement Logistic Regression in TensorFlow 2.0 using the tf.keras.Model API. We will also learn how to split our data into training, validation, and testing sets in order to train...

Deep Learning / TensorFlow

21st January 2023

Implementing Linear Regression in TensorFlow

TensorFlow is a powerful library for machine learning that allows for the easy implementation of various algorithms, including linear regression. In this tutorial, we will be using TensorFlow tape gradient to implement a linear regression model and plot the loss graph and x and y on matplotlib. First, we will...

Palani on Simple Object Detection with Bounding Box Regression in TensorFlow10th February 2023
Hi Nikhil, Thanks for your dedications and explored very well. it is great helps to me. by Palani
aravind on Polyp Segmentation using UNET in TensorFlow 2.019th April 2022
ImportError: cannot import name 'load_data' from 'data' (C:\Users\Aravinda\anaconda3\lib\site-packages\data\__init__.py)
chinnu jacob on Squeeze and Excitation Implementation in TensorFlow and PyTorch4th December 2021
sir can you share a code of using squeeze and excitation network on custom CNN for a classification
Anand on What is Transfer Learning? – A Simple Introduction.25th October 2021
Hey Nikhil, Very nice, to-the-point article on transfer learning. For a small size of dataset, an image augmentation along with…
Candice Roe on cv2.resize() – Resizing Image using OpenCV Python5th October 2021
Truly good blog short article and also valuable.