Posts from TensorFlow

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


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.


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

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