I am looking for a project written in python with a short report. It is based on Image classification with Neural Networks: Use Tensorflow 2 to train neural networks for the classification of fruit/vegetable types based on images from this dataset "Fruits 360" given on kaggle. Images must be transformed from JPG to RGB pixel values and scaled down (e.g., 32x32). Use fruit/vegetable types (as opposed to variety) as labels to predict and consider only the 10 most frequent types (apple, banana, plum, pepper, cherry, grape, tomato, potato, pear, peach). Experiment with different network architectures and training parameters documenting their influence of the final predictive performance. While the training loss can be chosen freely, the reported test errors must be measured according to the zero-one loss for multiclass classification.
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Hi there, I am expert in Data science and I can do this task. Feel free to inbox me now so that we can discuss about it. Thank you.
Hi, I am doing my PhD in computer vision and deep learning. I can write a short report and implement NN for image classification for you using TF 2. Best, Mehdi
Hello I’m a professional machine learning , deep learning expert , after viewing your job details , it really jumps out at me . I have extensive experience in deep learning , machine learning and reinforcement learnin Daha Fazla
I already have a model trained on fruits360 dataset and have the exact same requirements implemented in it. It is built on keras api and uses CNN along with fully connected NN for classification. I have 4+ years of exp Daha Fazla
Hola! I can help you with this neural network project in the minimum price. I am a specialist in computer science & information security. I have experience of more than 10 years and 100s of projects. Please ping me for Daha Fazla
I have been working with Python since 2nd year of my Computer Engineering Course and I believe I can help you with your project. I am currently studying Computer Science and Engineering in final year at a well reputed Daha Fazla