Posts from Keras
Cassava Disease Detection | Python
Cassava disease affects the overall growth of the plants and their tubers depending on the level of infection. In this article, we propose a very unique deep learning method using .... Read More
Transfer learning for training pneumonia dataset
This tutorial will learn how to train a dataset s using data augmentation and pre-trained models. We will use google colab for our training and validation. Obtaining dataset from K.... Read More
Pneumonia X-Ray detection, Keras | Python
In this article, a simple convolutional neural network is demonstrated without any pre-trained network or any data augmentation. The aim of this article is to explain the basic con.... Read More
German To English Translator Using Keras and TensorFlow using LSTM model!
In this article, an LSTM model for translating German text to English text is done using tokenization and I will train the model on Keras and TensorFlow backend. We have already worked with LSTM once when predicting the stock prices for shares, thus we will expand the use of LSTM today. The biggest problem for […] Read More
Covid-19 detection with X-Ray using Keras/TensorFlow CNNs
Hey Everyone! This is a tutorial to help you make a CNN model for Covid-19 detection on X-Ray images using Keras/TensorFlow. The current scenario that the world is going through is extremely critical and needs prime attention from every individual. Yes, you got it right! It’s the infamous COVID 19 pandemic that is a hot […] Read More
STOCK PRICES PREDICTION WITH TENSORFLOW/KERAS
Hey everyone! Today, we will explore one of the trickiest predictions present in the worldly scenario that is STOCK MARKET and will use TensorFlow deep learning Python library with Keras API. Stock Market is one of the most fluctuating fields, there are various factors that go into the analysis of the future happenings. It involves […] Read More
Squeeze-Excitation Residual Network using Keras
In general, when the depth of a network increases, accuracy reduces in a convolution. Thus, AI researchers introduced Residual Networks which solves these issues, thereby increasin.... Read More
Salt Identification using Keras | Python
In this article, salt deposit detection using UNets fused with a simple residual network is done. A study claims that 70% of the Earth’s surface is covered with water, among .... Read More
Lane Detection using Neural Networks with Keras
In this article, lane detection for autonomous vehicles with the help of convolutional neural networks is done. We have previously worked on Lane detection using Canny edge and Hou.... Read More
Importing Keras Models into TensorFlow.js
Hello Readers! In this blog, we will see how to import the Keras models into TensorFlow.js. You all must have heard the name of TensorFlow.js. TensorFlow.js is a Javascript library.... Read More