In this project, we will be working on intel images, i.e. images of buildings, forest, street, etc. We will build a convolution neural network and train it on these images. This is a multi-class classification problem and we will use KERAS.
Rp 4999
6 Lessons
00:37:26 Hours
In this project we will be finding if a customer will generate revenue or not for us. We will be building Deep learning model to predict purchase and also build a web app on Django to mount the prediction model and deploy the project on Heroku through Github.
Rp 4999
7 Lessons
01:05:22 Hours
In this project, we will be working on detecting and counting the number of vehicles in a given image or a video. We will be using open CV for image processing and a new thing, HAAR cascade, which is used for object detection. We can also create our own customized HAAR cascade classifier. You can create your own casket classifier.
Rp 4999
4 Lessons
00:14:40 Hours
In this project, we will create a convolution neural network that will be able to predict whether a plant is suffering from a disease. We will use different layers and other hyperparameters for building, training, and testing this classification model. we will be using TensorFlow and Keras for this project.
Rp 4999
5 Lessons
00:10:20 Hours
In this project, we will use a convolution neural network to build, train and test a sign classification model. We will build this model using tensor flow and keras. It is a multiclass classification problem. This model can be used for smarter cars. After this project, you'll be able to create a multiclass classification model using Deep Learning.
Rp 4999
6 Lessons
00:28:15 Hours
In this project, we will see how to use keras and tensorflow to build, train, and test a convolutional neural networks capable of identifying the breed of a dog in a given image. This is a supervisied learning problem, specifically a multiclass classification problem.
Rp 4999
6 Lessons
00:53:35 Hours