Improving Deep Learning Accuracy in Jupyter

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@schoudhary1553

As an experienced Full Stack Developer and Data Scientist with 7 years of experience, I am well equipped to take on your project and bring your deep learning accuracy up to the targetted 95%. I've previously worked with data intensive tasks requiring machine learning, such as Metlife GOSC & DXC technologies. My work involved web scraping, web automation and coding scripts to drastically improve efficiency - all qualities that will prove vital in optimizing your deep learning models. Not only do I have a deep understanding of Jupyter Notebooks, but I'm also familiar with working in high-performance GPU environments on powerful systems like NVIDIA's A100, V100 and T4. This technical understanding ensures that no performance bottlenecks are missed out while optimizing the training parameters for your large datasets. Additionally, my proficiency in Python and R programming will enable effective preprocessing, normalization, window segmentation and fusion set up. Finally, I'm extremely client-oriented and offer a satisfaction guaranteed approach for my work. With an EST availability between 8 AM to 12 PM. You can count on having an end-to-end optimized notebook that runs smoothly on high GPU setup meeting this challenging 1-day deadline in just $70. Choose me for a combination of strong skills, technical expertise and a demeanor that ensures long term project relationships based on trust and satisfaction.

@Herculesz

Hi I can audit and optimize your IMU-fusion/activity-recognition notebook end-to-end - preprocessing, windowing, fusion architecture, and training - so performance improves significantly on a GPU setup. A common reason IMU pipelines get “stuck” around ~60% is a silent label/segmentation mismatch (wrong window-to-label alignment, leakage, or class imbalance handling), so I’ll first validate label mapping, split strategy, and window assignment before tuning models. Then I’ll tune the architectures and fusion (e.g., better temporal encoders, attention/late-fusion, regularization) and optimize training (LR schedule, batch size, dropout, weight decay, augmentation) for stable convergence. I’ll add early stopping, per-epoch metric tracking (accuracy + macro F1), confusion matrix snapshots, and reproducible seeds so results are auditable. Class balance will be addressed with weighted loss or sampling, and I’ll confirm normalization is applied correctly per-sensor/channel to avoid distribution drift. You’ll get before/after comparisons inside the notebook, including accuracy and F1, plus notes explaining each change so you can extend it later. I can structure the notebook to run cleanly on Colab/Kaggle/AWS with GPU detection and minimal manual steps. Thanks, Hercules

@Sohail748

Hi there I am offering a 30 percent discount on my services for this project. I understand you need to improve deep learning accuracy in Jupyter, and I can provide a professional and effective solution. My approach will focus on analyzing your existing model, dataset, and code to identify areas for improvement, including data preprocessing, feature selection, model architecture, and hyperparameter tuning. I will apply best practices in deep learning to optimize the performance and ensure more accurate predictions. I will also implement strategies such as regularization, augmentation, and learning rate adjustments where necessary, and provide clear explanations of all changes to make your workflow more efficient and understandable. My goal is to enhance the accuracy of your model while maintaining reproducibility and performance. I will maintain clear communication throughout the process, providing updates and recommendations to ensure the improvements meet your expectations. You can rely on me to deliver a professional and effective deep learning solution in Jupyter that maximizes model accuracy and reliability. Regards Sohail Jamil

@dfordesigners

Hi Amjad A. I’m your web developer, ready to turn your project Improving Deep Learning Accuracy in Jupyter into reality! I’d love to discuss the details and create something amazing together. Feel free to message me anytime, and we can also hop on a quick video or audio call whenever it's convenient for you. I’ve developed many projects exactly like what you’re looking for. If you want to see more relevant samples, just contact me through the chatbox, and I’ll share them instantly. ★ Why Clients Trust Me 500+ successful web projects delivered 430+ positive client reviews Expert in Java, Python, Machine Learning (ML), Data Science, Neural Networks, Keras, Deep Learning, Model Tuning WordPress, Shopify, PHP, JavaScript, HTML, CSS, Plugin/Theme Development, Laravel, WebApp Clean, modern, responsive and SEO-optimized designs Fast delivery, great communication, and long-term support Available during EST hours for smooth collaboration If you want a professional developer who delivers quality work on time and stress-free, let’s connect. I’m excited to help build something amazing for you. Best regards, Kausar Parveen

@amirrmusavifr

Hi, I'm an experienced Python developer with the necessary skills to complete your project. I have skill sets: • Proficient Python developer with a strong background in Classification, Regression, and Clustering tasks. • Proficiency in AI/ML, particularly in algorithms Support Vector Machine, Random Forest, Decision Tree, K-means, XGBoost, etc. • Strong understanding of demographic data interpretation. • Strong programming skills, preferably in Python and relevant libraries like Pytorch, TensorFlow, scikit-learn, NumPy, Pandas, NLTK, spaCy, etc. • Ability to deliver clear and understandable model predictions. My track record of success with similar projects is proof that I can deliver results quickly and accurately. If you're interested in hearing more about how I could help you, please don't hesitate to reach out!

@mobimubasir

Hello. I read your requirement i will do that. Please come on chat we will discuss more about this. I will waiting your reply

@kaliansh

Hello, I have gone through your project and found that I am the right fit for the project. Before proceeding I would like to take a look at your jupyter notebook so I can identify the kee improvements that are left to be applied. Let me know if you have anything else to share or have any query. Anshu.K

@Sidrairfan078

Hi there, I've reviewed your project on improving deep learning accuracy in Jupyter, and I’m confident I can help you achieve that target of 95%. With my extensive experience in machine learning and deep learning, particularly in optimizing neural network architectures, I'm well-equipped to thoroughly assess your current pipeline, from data preprocessing to model fusion setup. I will analyze and tune your current models by optimizing training parameters, ensuring class balance, and implementing early stopping along with performance tracking. My aim will be to enhance both accuracy and F1-score, with detailed comparisons between the original and improved models. I can start immediately and have the optimized notebook ready by tomorrow, ensuring it runs efficiently on a high-performance GPU.

@vorasiddh4it

Hello Amjad A, I’ve hands-on experience improving IMU fusion & activity-recognition models from low baselines to 95%+ accuracy using architecture tuning + training optimization on high-end GPUs (A100 / V100 / T4). I can show demo notebooks and before/after metrics and move fast to meet your 1-day deadline. ? What I’ll Do (End-to-End) 1️⃣ Pipeline Review & Fixes • Validate preprocessing, normalization & sensor alignment • Optimize sliding-window size/overlap • Verify label mapping & remove leakage • Fix class imbalance (class weights / focal loss) 2️⃣ Model & Fusion Optimization • Improve fusion strategy (early vs late fusion) • Tune CNN / LSTM / GRU / Transformer blocks • Regularization: Dropout, BatchNorm, residuals 3️⃣ Training on GPU • GPU-friendly batch sizing (A100/V100/T4) • LR schedulers (Cosine, ReduceLROnPlateau) • Early stopping + epoch-wise tracking • Mixed-precision (FP16) for speed 4️⃣ Results & Comparison • Accuracy + F1 before vs after • Confusion matrices • Clean, reproducible notebook ? Relevant Projects IMU Sensor Fusion for Human Activity Recognition Wearable-Based Gait & Motion Classification (Deep CNN-LSTM) Multimodal Time-Series DL Optimization on A100 GPU ⚡ Why Me • Proven IMU-HAR optimization experience • Deep Keras / TensorFlow tuning • Fast GPU debugging & convergence tricks • Clean, documented notebooks ? I can start immediately, optimize within 24 hours, and prove the 95%+ jump with metrics.

@arbu1499

I can optimize your Jupyter Notebook for IMU fusion and activity recognition to help push accuracy from ~60% to 95%+. I’ll review your full pipeline, tune model architectures, optimize training parameters, ensure class balance, add early stopping, and provide per-epoch performance tracking. You’ll get clear comparisons of accuracy and F1-score before and after, with the notebook fully ready to run on a high-performance GPU (A100, V100, or T4) for efficient training. Looking forward for your positive response in the chatbox. Best Regards, Arbaz B

@trm66614

Hi there,Good afternoon I am Talha. I have read you project details i saw you need help with Java, Machine Learning (ML), Neural Networks, Model Tuning, Data Science, Deep Learning, Python and Keras I am writing to propose an innovative approach to tackle your project. Our proposal centers on delivering creative and effective solutions that will set your project apart. We will present fresh, out-of-the-box ideas that align with your project's objectives, demonstrating how we can achieve remarkable results. Please note that the initial bid is an estimate, and the final quote will be provided after a thorough discussion of the project requirements or upon reviewing any detailed documentation you can share. Could you please share any available detailed documentation? I'm also open to further discussions to explore specific aspects of the project. Thanks Regards. Talha Ramzan

@Ahmedh058

Hi there, I’m Ahmed from Eastvale, California — a Senior Full-Stack Engineer with over 15 years of experience building high-quality web and mobile applications. After reviewing your job posting, I’m confident that my background and skill set make me an excellent fit for your project — Improving Deep Learning Accuracy in Jupyter . I’ve successfully completed similar projects in the past, so you can expect reliable communication, clean and scalable code, and results delivered on time. I’m ready to get started right away and would love the opportunity to bring your vision to life. Looking forward to working with you. Best regards, Ahmed Hassan

@Azursol

Dear Client, I am a seasoned Python expert with a specialization in deep learning, particularly in optimizing model accuracy and performance. With over a decade of experience, I have successfully enhanced deep learning models to achieve desired accuracy levels. For your project, I will meticulously review and fine-tune the deep learning pipeline within your Jupyter Notebook. My expertise includes data preprocessing, architecture tuning, parameter optimization, and performance tracking. I will ensure class balance, implement early stopping, and provide detailed comparisons to showcase the improvements in accuracy and F1-score. By collaborating with me, you can expect a fully optimized notebook that surpasses the 95% accuracy threshold and seamlessly operates on high-performance GPU environments. Let's discuss how we can elevate your project together. Looking forward to the opportunity, Ali Zahid

@vanhuy19892011

Dear Amjad A.. Thanks for sharing your project! I’ve worked on similar projects before and have hands-on experience with tasks like yours. I’ve got a bunch of hands-on experience with Python, Model Tuning, Deep Learning, Keras, Machine Learning (ML), Java, Neural Networks and Data Science, so I’m comfortable handling everything you’re looking for. If you want to see my work quality, please feel free to check my reviews from previous clients. I can also show examples of previous projects and walk you through my workflow, including clear communication, clean execution, and a professional approach from start to finish. Feel free to message me anytime. I’d be happy to discuss your project and get started. Best Regards, Huy.

@mayankinnovative

Hello, I’m a full-stack and machine learning developer with 15+ years of experience building and optimizing AI pipelines. I can help you reach 95%+ accuracy on your IMU fusion and activity recognition models. Here’s my approach: • Review your full deep learning pipeline, including data preprocessing, normalization, window segmentation, and fusion setup. • Optimize architectures and training parameters: batch size, learning rate, dropout, scheduler. • Ensure correct label mapping and balanced classes. • Add early stopping and per-epoch performance tracking for both accuracy and F1-score. • Test and benchmark the pipeline on a high-performance GPU (NVIDIA A100, V100, or T4) for smooth execution. • Provide a comparison report showing before vs. after performance improvements. The end result will be an optimized, fully functional Jupyter Notebook that trains efficiently and reaches your target accuracy, ready for high-GPU deployment.

@Zawiya3

With over a decade of experience and an extensive skill set spanning from Python to Deep Learning, I'm confident in my ability to enhance your Jupyter Notebook's performance in a high-GPU environment. My ability to resolve complex problems while considering factors like data preprocessing, normalization, and fusion setup make me the ideal candidate for the task at hand. In terms of optimizing the deep learning pipeline, I will review each step extensively and tune each architecture accordingly. I'm well-versed in parameters optimization including batch size, learning rate, dropout, and scheduler, which I'll apply to your project. My proficiency also extends to ensuring class balance and correcting label mapping - two areas that can significantly boost model accuracy. Moreover, I can offer you more than just changes; I promise detailed epoch-wise performance tracking with early stopping mechanisms throughout your model's training phase. To prove the efficacy of these modifications as well as their impact on accuracy, I will provide comparison analyses showcasing accuracy and F1-score before and after my amendments. So if you're looking for someone who can deliver a smooth-running notebook that comfortably hits the 95% mark on a GPU rig, don't hesitate to hire me. Let's get started!

@DGM999

Hello, I’ve carefully reviewed your project and know exactly how to deliver results that are strategic, efficient, and tailored to your goals with no wasted time or guesswork, just real, measurable value. With several years of hands-on experience in Java, Python, Machine Learning (ML), Data Science, Neural Networks, Keras, Deep Learning, Model Tuning, I bring not just expertise but a track record of delivering results that help clients move forward with confidence. My Portfolio: https://www.freelancer.ca/u/DGM999 If you’re looking for reliable, quality-driven support, I’m just a message away. Let’s make it happen. Best Regards, Sadat Saeed

@ianb65

Hi, there! My name is Ian Brown, and I’d be happy to help with your project. I can provide a clean, reliable solution tailored to your needs, keeping everything simple, efficient, and easy to use. My goal is to streamline your workflow, save time, and deliver results that fit smoothly into your existing process. I’m ready to jump in and help make your project run as smoothly as possible!