Multimodal Deep Learning

Hi I am Ibrahim and I am a data scientist, I can help you with deep learning, do you want me to grid search the model. Regards, Ibrahim Anjum

Hello, I am an AI researcher with 2 years experience in deep learning field. My major fields are deep image processing, deep natural language processing, GAN and reinforcement learning. My experiences are image classification, image segmentation, image captioning, image generation, image to image translation, Autoencoders, variational Autoencoders, language classification, text similarly, chatbot, sentiment analysis etc My Framework Experiences Flask, Django, codeigniter, stream lit, dash, ploty

I can deliver Deep Learning and Computer Vision solutions to solve: Image Classification Object Detection Semantic Segmentation Instance Segmentation Image Style Transfer Image Reconstruction Image Colorization Image Synthesis I have experience with building Deep Learning models in PyTorch. I am sure we can work together to fulfill your Deep Learning and Computer Vision needs.

Hello, I am very interested in your job as machine learning & AI engineer, who has 7+ years of R&D experience in speech/speaker recognition, song identification, audio fingerprint, object detection/tracking, face detection/recognition, topic modeling, text sentiment analysis. I've deployed these applications with tensorflow, ptorch, yolo, mxnet on windows and Linux. I think we can discuss more on chat. Thank you

I am post graduate in AI and Have worked on many object detection and classification problems using Inception, CNN and YOLO, NLP. Your requirements are well suited for my skill set, I will be able to complete it. Below are my skill sets : 1. As a data scientist i have worked on Machine Learning, Deep Learning ,CNN and NLP Projects. 2. Speech to text conversion and then language translation using NLP. 3. Have worked on Captcha detection using CNN using my own code and also Inception V3 transfer learning model. 4. Object detection using YOLO. 5. Pneumonia classification from X-Ray images. 6. Worked on NLP NER extraction using Transfer learning using BERT and T5 models. 7. Have worked on different category of Machine Learning Models(Classification, Regression, PCA, Recommender System) 8. Knows about Machine Learning Project Procedures(Problem Formulation, Data Gathering, Data Exploration, Data Cleaning, Feature Extraction, Modelling, Model Evaluation, Changing the model according to observation while model evaluation, Deploying Model)