Posts from TensorFlow

Depthwise Separable Convolutions using Tensorflow in Python

By Shreya Kulkarni

In this tutorial, we are going to learn about Depthwise Separable Convolution using the Tensorflow library in Python. Let’s first understand what we meant by Depthwise Convol.... Read More

Customer Churn Prediction Using ANN with TensorFlow in Python

By Kotha Narasimha Rao

In this tutorial, we will discuss customer churn prediction using ANN with TensorFlow deep learning Python module. We will use Keras API built on top of TensorFlow ANN:-Artificial .... Read More

Understanding tf.reduce_sum() function in TensorFlow

By Shreya Kulkarni

Hello everyone, This tutorial will explain how to use tf.reduce_sum() in TensorFlow. What is TensorFlow? TensorFlow is a Python library used in machine learning as well as deep lea.... Read More

Image Data Preprocessing using keras

By Kotha Narasimha Rao

In this tutorial, we will learn Image data preprocessing using Keras. All the codes are done in the Jupyter notebook using the Anaconda extension.  What is Data Preprocessing? Ima.... Read More

TensorFlow Binary Classification with examples in Python

By Sumit Chhirush

Hello programmers, in this tutorial, we will learn Binary Classification using TensorFlow with examples. All the codes are done in a collab notebook We have a dataset of cats vs. d.... Read More

A comprehensive guide to Tokenizing with TF Text

By Amanpreet Singh

Overview The practice of splitting up a string into tokens is known as tokenization. These tokens are often words, numbers, and/or punctuation. The tensorflow_text package includes.... Read More

Data Augmentation of a Dog Image in Deep Learning

By Deepesh Singh

The quality, amount, and relevance of training data are all significant considerations in machine learning models, particularly deep learning models. One of the most prevalent prob.... Read More

Bird detection using TensorFlow in Python

By SHAUNAK LUNAWAT

Hello Everyone, In this machine learning tutorial, we will go through the process of understanding and developing a Bird Detection model using TensorFlow deep learning module in Py.... Read More

Image augmentation techniques with TensorFlow 2.0.

By SHAUNAK LUNAWAT

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