Say Hello to Artificial Intelligence
Say Hello to Artificial Intelligence
A convolutional neural network (CNN) is a type of deep learning model that is commonly used for image classification and other tasks that involve analyzing visual data. CNNs are composed of multiple layers, including convolutional layers, pooling layers, and fully connected layers. The convolutional layers of a CNN are responsible for extracting features from the …
There are several Machine Learning tools and techniques but choosing the right tool is really an important tasks for the practitioner and researchers. In this blog you will learn about most popular and widely used Machine learning tools. 1.Tensorflow Tensor flow is an open-source framework, which provides a JavaScript library for Machine Learning as well …
Most Popular and widely used Machine Learning tools in 2021 Read More »
In this Python web-based project with source code, we are going to build a chatbot using deep learning and flask techniques. The chatbot will be trained on the dataset which contains categories (intents), pattern and responses. We use a special artificial neural network (ANN) to classify which category the user’s message belongs to and then …
An autoencoder is a type of artificial neural network used to learn efficient data codings in an unsupervised manner. The aim of an autoencoder is to learn a representation (encoding) for a set of data, typically for dimensionality reduction, by training the network to ignore signal “noise”. AutoEncoders compress the input into a lower-dimensional code and …
The convolutional neural network is one of the most popular deep learning model for image classification. In this Blog, we are designing a CNN model to classify the Cat Vs Dog (weather image is lable is cat or dog) using Tensorflow. This is a simple CNN Network Found 198 images belonging to 2 classes. Found …
1.Pandas pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with structured (tabular, multidimensional, potentially heterogeneous) and time series data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the …
Computer vision tools have Computer vision tools have been seeing a great spike in the last few years The adoption of Computer Vision has been consistently picking up pace over the previous decade, however, there’s been a spike in adoption of different computer vision tools lately, because of its usage in fields like IoT, manufacturing, …