cnn, Alexnet, Deep learning and CNN, Classification,SVM

Thank you for your job posting. AS a machine learning and deep learning expert, I'm glad to see your project. If you check my profile, you can see I have deep knowledge in machine learning and deep learning algorithm. I also have finished many projects with them so far. If you give me your project, I can help you well with your project. Please contact me. I'm ready for your project and can start soon. I will wait for you with your good news. Regards

Hi, I understand the work which is very easy because I have been worked for the same tasks. I will work with efficient and correct way. I need money so I need to work. Please give me work, I will surely complete work within the required time.

Hey there, I am working as a professional machine learning engineer with multiple years of involvement in deep learning projects like yours. You can check out my profile reviews to get a first impression of the work i am delivering. Other than that we can discuss anything about your project in chat. Regards, Nick.

I have done similar work using pretrained networks to extract features and then use another classifier. I have good understanding of Transfer Learning. Hi. My name is Uzair.I did my masters in Electrical Engineering. I have done my thesis in biomedical signal processing and Machine learning. I have more than 3 years of experience in Python/MATLAB specially in Machine learning/Deep Learning, Image processing and Signal processing. I have knowledge and understanding of state of the art machine learning algorithms like SVM, neaural networks as well as basic algos like KNN and clustering. I have also worked with sklearn and keras in PYTHON. I have experience with tensorflow,Keras,Pytorch and a ot of other ML libraries. I have recently organized a bootcamp on AI and machine learning in my university. Due to my vast coding experience , I can handle your project with quality work. Kindly share some more details so that I can offer the exact solution to your problem. Regards

Hi, I am an engineer specializing in computer vision and machine learning. I have done many projects related to computer vision and video analytics using image processing and deep learning. Some of the projects I have done are smart surveillance, action detection, face recognition, facial attribute detection, semantic and instance segmentation, person re-identification, object detection and tracking, etc. I have a very good knowledge in various deep learning model architectures (including Alexnet) and I have done similar experiments to train the alexnet for feature extraction using different approaches such as classification, triplet loss, etc and integrating with other classifiers. On top of that, I have a very good knowledge about image processing, deep learning and mathematics. Moreover I am very good with python,C++ programming and familiar with libraries such as Keras, Pytorch, Tensorflow, OpenCV (Python/C++), numpy, sklearn, etc which are necessary in the development process. I would like to discuss more info via chat. Regards, Dilina.

I am an expert at deep learning with computer vision and I have already published in elite conferences. Thus I have the experience of exactly what your project needs

Hey, I am interested to work on this project, as I am adept in working with CNN and Alexnet. I have worked on various projects using CNN for Automatic Plate Number Recognition, tweet classification, analysis of MNIST and CIFAR, etc. Please let me know if you can provide more details about the paper, as I was not able to find details in the project description. A little bit more about myself, if required: I was a Research Assistant at Robotics Research Centre at International Institute of Information Technology, Hyderabad, for a term of 3 years, (May 2012 - April 2015) and have been a independent researcher/freelancer ever since. Prior to that, I worked in Soliton Technologies - Texas Instruments team, as an Electronic Software engineer / Labview programmer. During my term as a Research Assistant, I had the opportunity to attend courses in : 1. Image Processing, 2. Computer Vision, 3. Machine Learning and Optimization 4. Natural Language Processing (NLP) I hope to strike a professional relationship with you and proceed to experience the zest and enthusiasm in working on the project to completion. Thanks, LN

I have already Worked on Inception V3, SSD-Mobilenet, SSD-Inception built-in Modelling. OpenCV(Canny Edge and Auto canny, Clahe, various type of Morphological operation like Erosion , Dilation , Medium blurr for feature extraction in image). AWS Machine Learning Platform(Face Analysis, Face Recognition, Lex-Chatbot, Comprehend, Polly Speaker) Computer Vision(Face Recognition, Live object Detection using built-in SSD Model) Self-Driving Car by making use of Deep-Q Learning & Reinforcement Learning. NLP models(chunking, sentiment Analyzer, text-to-speech Recognition, dumb chatbot). Chatbot for updating Excel sheet. Chatbot interface for natural language to SQL Query generation. Question-Answer pair generation from text using LSTM & Seq2Seq. We can initiate chat for further clarifications. thanks

I have been working in machine learning for the past 2 years. I have also taught machine learning to CS undergrad students. I taught them SVM, working of neural networks, CNNs, RNNs, LSTMs, reinforcement learning, decision trees, among other things. We also studies alexnet, YOLO and other trained models. I would be happy to help you try to prove that alexnet+SVM is better than alexnet + softmax.

worked on cnn and advance computer Vision Alexnet with SVM will definitely yield better results "power of ensemble modelling" we will update it will separable conv i have worked on industry standard projects lane detection, video captioning,etc

Hi sir, I am a student engineer in the domain of machine learning and Deep learning, So I am very familiar with Convolutional Neural Network Architectures using python language. I have worked many same projects and I am ready to start working with you. Thank you.

I have Extensive experience in Research and Implementation of Machine Learning & Deep Learning models like Auto-encoders, VAE, RNN, CNN & LSTMs with PyTorch & Python. As a Machine Learning Consultant, I have helped organizations implement AI Products like Recommender Systems, Image and Video Analytics, Chatbots and NLP and move over from Traditional ML to Deep Learning. I have implemented end-to-end Deep Learning Architectures using Pytorch, Pyspark, ONNX, Cafe2 etc. at scale on the cloud. I have used Apache Airflow to Automate and scale Deep Learning Pipelines in Production systems. I can help you implement your project in the most professional and scalable manner