GAN Algorithm

Hello. Will you provide a dataset for a model? GANs are pretty nice stuff, but there is lot of more advanced papers for that. Can you describe whole project idea? Anyway, let's talk and do the business!

HI Thanks for your job I am mainly working images and videos using GAN Please discuss more about the job I can start working now Also I mastered matlab and Python, most of all i am working with Matlab I am Andrey

Hello, I read your whole proposal, and thanks for your post on my good experience. This is very good job for me. So I think I can do this in high quality. My releavant skill is: Matlab and Mathematica, Python I want to further discuss with you. I look forward to working together in partnership on your project and into the future. Best Regards.

Hello sir. AS a python developer , I'm glad to see your project. Please check my profile, i have good skills in python and i have finished many projects until now. If you give me your project, i can send you good result in a short time. Please contact me. I will wait for you with your good news. Regards

Expertise in python with good command over GANs. I have completed various projects related to this field and can provide you your complete task in decided time frame with quality work. We can discuss further details in the message box

I have finished deep learning specialization so I'm familiar with problems like this. Fill free to check my account or write me a message if you have some questions. Best regards Žiga!

Hi, I went through the document you sent. I have previously worked on Face Recognition System. I understood the task that you sent me. But, the accuracy of the above task will be relatively less than a general Face Recognition System. Since this is a research work, so it generally takes time to complete this. Let me know if there are any further specification regarding the work. With Regards, Shubham Sharma

Hello, I am building a face generation project using Deep Convolutional GAN on aws using tensorflow-gpu... I will share below, part of the steps I am using after preprocessing to achieve my goals... I will Implement the inputs function to create TF Placeholders for the Neural Network. It should create the following placeholders: Real input images placeholder with rank 4 using image_width, image_height, and image_channels. Z input placeholder with rank 2 using z_dim. Learning rate placeholder with rank 0. Return the placeholders in tensor of real input images and tensor of z data I will then Implement a discriminator to create a discriminator neural network that discriminates on images. This function will be able to reuse the variables in the neural network. I will use tf.variable_scope with a scope name of "discriminator" to allow the variables to be reused. The function will return a tuple of tensor output of the discriminator and a tensor logits of the discriminator. I will implement a generator to generate an image using z. This function will be able to reuse the variables in the neural network. I will again use tf.variable_scope with a scope name of "generator" to allow the variables to be reused. The function will return the generated 28 x 28 x out_channel_dim images. I will implement the model loss to build the GANs for training and calculate the loss. The function will return a discriminator loss and a generator loss.. Fell free to contact for furth