Implement logistic regression for classification of digits on an image dataset, MNIST. Evaluate how the behavior of the model is affected by changing parameters and training set sizes. Needed the completed project by Friday
Hello.I would like a simple Image classification program for breast cancer mammogram(x-rays) whereby a user can insert an x-ray image of a breast and the program should check whether or not the person has breast [url removed, login to view] project should be really simple with an simple user interface. You can use opencv, tensorflow or any other image processing libraries
...backward, straight handwritting) and size of text. In preprcessing image should be converted from rgb to Binary image in .jpg format. After feature extraction phase the classification will be carried out for the following six emotions, happiness, sadness, anger, fear, disgust and surprise. Output should be the emotion that has been predicted from the
...Got website domain [url removed, login to view] Got hosting space 20gb. Website designing, should have this pages build well. 1. Home 2. About us 3. Contact us 4. Services 5. Forum or Classification user login/register 6. Market (ecommerce) All the pages should be designed and defined well, the forum page should have the features as people should be able to create
...offer our products at air shows throughout Europe. We want to change the logo, refresh it. So that it would be more connected with military aviation. New brand name: RBF Subtitle: REMOVE BEFORE FLIGHT I attach the existing logo. Logo has to be done in vector. It should contain a package: - Vector - Png in the square for profile pictures
...members can see it. Den all members can comment n help der. Website designing, should have this pages build well. 1. Home 2. About us 3. Contact us 4. Services 5. Forum or Classification user login/register All the pages should be designed and defined well, the forum page should have the features as said before, people should be able to create a account
Hi alexmugioiu, I have a realtively simple neuronal network task: 4-class classification from biological data. The accuracy has not be perfect, but I would like to have an architecture that is sensible for the data, and some ideas for suited feature transformations. Let me know if you are interested
Develop a neuro-fuzzy (NF) system for engineering design applications. It can be used for system modeling (e.g., system state forecasting), pattern classification (e.g., diagnostics), and intelligent control. Appropriate learning algorithms should be implemented and applied for linear/nonlinear system parameter training
i want to Create Sinhala (It is language) OCR for covert image texts into text d...Apply Thining algorithm 2. Identification(create a feature vector) Find the center position of the image Find the distance of the character from the center point 3. Classification By neural networks train each characters Please check the attached document..!
...analytics, implemented in MATLAB or PYTHON (in Jupyter Notebook). There is no restriction to the dataset used in this demonstration example, but it should be a real-life dataset (preferably from Kaggle or similar sites) and it should provide some business challenges that will be solved using some data processing and classification methods. Toy datasets
Hi, Needs few tasks to be completed for classification model project using R Programming. Additional details can be shared later
Must use matlab 2017b with neural network toolbox v11.0 Train a convolutional neural network (ConvNet) for an image classification task and use the trained model for detecting cars in [url removed, login to view] I will give more details to whoever I award projec to
I am looking to create safety data sheet for chemical ingredient ...with OSHA HCS or REACH Regulation (EC) No 1272 /2008 (CLP) 2) In-depth technical knowledge about UN GHS, EU CLP and REACH Regulations. 4) Understanding about Hazard classification, Toxicology, Eco-toxicology and Regulatory principle 3) Must have experience in writing SDS in past.
...Frequency-domain: - Spectral centroid - Spectral flux C. Perceptual: -MFCC - LPCC 4- Use k-NN classifier 5- Compare accuracy of classification between features of following categories : • Time-domain • Frequency-domain • Perceptual • TD+FD 6- Compare execution time between (features extraction step) based
data cleansing cluster data using k-means algorithm develop classifier and evaluate its performance communicate findings on data in report - python source code and report needed
... My data set contains a movie synopsis and its equivalent rating or classification. I have around 3000 rows/records in my data set categorized into Foreign or Local movie. The data mining task goes like this: 1. From the data set available, identify which Classification algorithm works best in classifying new movie in terms of accuracy. The