Building a deep learning model based on several research papers.
...beat experienced traders for financial asset trading. This is tackled by injecting a deep neural network (NN) to deal with financial signal representation and trading by using two trends like, the learning concepts of deep learning (DL) and backpropagation .The deep learning (DL) is utilized for sensing the dynamic varying market condition for informative
Looking to retain the services of rapid fire freelancer - someone who can turn our raw product shots in to dazzling portraits quickly, efficiently and consistently. We will have need to update around 10,000 images per annum (250 images per week) with an initial hurdle of ~500 images per week for the first two months. Turnaround time is critical - but equally so is the presentation of the product ...
Experienced Machine Learning, Data Visualization, AI, Deep Learning Freelancer needed. Must be good in Data Visualization, Experienced in Python, Tensorflow, or other Machine Learning Tools.
Hi, I need 5 images deep etched onto a transparent background and sent over either asa TIF or PSD files. have attached the 5 images. I have higher resolution images I can provide. Please place your bid and I will contact you if I have any questions.
"Character recognition using deep learning (convolution neural network)". Personal database will be used. Data in image format.
looking for an expert in deep learning neural network, machine learning and python, who is knowledgeable in triplets network, alexnet, ResNet architecture and python libaries, training the network and extracting key features and who also has solid background in SVM, image processing, face detection and recognition. This will be implemented using
According to a dataset (which includes important financial and economic indicators for the Eurozone - 19 countries, transformed into growth rates - 17 years since the European Union was founded), i want to a) predict the inflation rate in a short term period (for the next 2 to 3 years), not only the average but also the entire distribution of the variable b) to look at which factors can contribut...
Data = two vedios, 15 second 1. comapred, or classified the difference between both vedio 2. used deep learning, deep neural network, or convoluation neural network 3. identified the difference between both vedios 4. plot the graph of both vedios difference
Deep Learning : Training Data and Setting up Project environment. This is to setup the project environment and creation of training data needed for testing.
the code must run on raspberry pi model 3b
Dream job in Dubai for those who is at endurance sports