Build your neural network using Machine Learning & TensorFlow | Developer workshop by bene : studio

Using deep learning and neural networks, we’ll be able to classify benign and malignant skin diseases, which may help the doctor diagnose cancer at an earlier stage. In this workshop, we will make a skin disease classifier that tries to distinguish between benign (nevus and seborrheic keratosis) and malignant (melanoma) skin diseases from only photographic images using TensorFlow framework in Python. It’s important to note that the example provided here is solely for demonstration purposes and does not qualify as an actual medical application for making diagnoses. 💡 What you’ll learn: – The fundamentals of Machine Learning and Neural Networks – Understanding the importance of deep learning in medical image classification – Preprocessing and preparing photographic images for training a skin disease classifier – Building a neural network architecture for image classification using TensorFlow – Implementing key deep learning techniques for improving model performance – Training the neural network on a dataset of benign and malignant skin disease images – Evaluating the classifier’s performance and interpreting the results 💻 Requirements – Having a basic knowledge of Python is beneficial, but it is not mandatory – Have a Google account: we’ll use colab.google during the workshop Find the code here: – https://colab.research.google.com/drive/1UQsXT81tyv8eBxDNVAGfs8LC-CqkE5XB#scrollTo=GxXCvsw74AvK – https://colab.research.google.com/drive/1LsjAQMnB42kV_-dKGkjFXmX3km5ivCSk#scrollTo=OT1MI1nkZCps Instructor: Ádám Magyar, Software Engineer =============================== Follow us on social media! ✨ Linkedin: https://www.linkedin.com/company/benestudio Facebook: https://www.facebook.com/benestudio.co Twitter: https://twitter.com/benestudio_co Instagram: https://www.instagram.com/benestudio_co/ =============================== 🔗 https://www.benestudio.co 🔗 We are a global technology company that designs, develops and integrates solutions for corporate innovators and startups, mainly in MedTech. At bene : studio, we create IoT, mobile & web apps and enhance core systems with an approach focused on user experience. For the past 10 years, we have been working on 100+ projects for US & EU clients, from stunning startup prototypes to large-scale systems for enterprises for companies including DynamiCare Health, GE Healthcare, Johns Hopkins University, Volkswagen Group, Cushman & Wakefield, Labworx, Coopah and many more. 🔗 https://www.benestudio.co 🔗 #machinelearning #tensorflow #neuralnetwork #engineering