By - Euron

Master Deep Learning in One Shot | 7-Hour Full Course with Projects

Master Deep Learning in One Shot | 7-Hour Full Course with Projects

Euron

0 mins
42+ students

📝 About This Course

Euron - https://euron.one/ Course Link : https://euron.one/course/deep-learning-masters For any queries or counseling, feel free to call or WhatsApp us at: +919110665931 / +919019065931 Dive into the world of Deep Learning with this all-in-one course! From understanding the core principles of neural networks to deploying AI models in real-world applications, this video takes you on a complete journey. Perfect for both beginners and professionals, it combines theory with hands-on practice so you can truly master deep learning. What you’ll learn in this course: - Neural Network Foundations: activation functions, gradient descent & backpropagation. - Advanced Domains: computer vision, natural language processing (NLP), and reinforcement learning. - Hands-On Projects: build and train models using TensorFlow, Keras & FastAPI. - Deployment Skills: deploy AI models into production for web & mobile apps. - Real-World Use Cases: facial recognition, autonomous driving, chatbots & more. Why watch ? - Beginner-friendly yet covers advanced AI concepts. - Step-by-step explanations for easy learning. - Project-based approach to build real skills. - Learn how to move from theory → coding → deployment seamlessly. CHAPTERS: 00:00 - Introduction 01:56 - Evolution of Deep Learning 10:45 - What is Deep Learning 23:28 - Deep Learning Roadmap 35:54 - What is a Neural Network 39:50 - Tensorboard Playground - A Demo 53:01 - Neural Network Common Terms 57:24 - Hidden Layer Functionality 59:55 - Inside a Hidden Layer 1:06:08 - Output Function Explained 1:07:30 - Adjusting Weights and Biases 1:08:38 - Understanding Loss Function 1:16:55 - Importance of Derivation in Deep Learning 1:18:32 - Forward Propagation Explained 1:29:42 - Activation Function Overview 1:44:43 - Backward Propagation Process 1:51:11 - Derivative of Loss Function 1:55:20 - Finding Loss Derivative w.r.t. Neuron Output 2:02:45 - Backward Propagation Techniques 2:18:10 - Calculating Loss for Hidden Layer 2:23:21 - Updating Weights and Biases 2:31:30 - Neural Network Post-Backward Propagation 2:34:50 - Activation Function Revisited 2:50:32 - Optimizer Overview 3:10:44 - Autoencoder Introduction 3:14:53 - Autoencoder Encoder Explained 3:15:49 - Autoencoder Decoder Explained 3:24:08 - Customer Churn Analysis Project 0:00 - Environment Setup 0:00 - Data Understanding 3:30:59 - Data Preprocessing Techniques 3:37:18 - Model Training Process 3:42:45 - API Creation Steps 3:54:25 - Streamlit App Development 3:58:02 - Testing the Streamlit App 4:01:11 - Project Introduction 4:01:17 - Docker Project Conversion 4:06:59 - Docker File for Backend 4:09:50 - Local Docker Testing 4:16:11 - Deploying Backend on Render 4:23:57 - Frontend Deployment on Streamlit Cloud 4:30:57 - API Testing with Postman 4:35:00 - Confusion Matrix Analysis 4:44:57 - Accuracy Metrics Explained 4:47:35 - Precision Metrics Overview 4:50:23 - Recall Metrics Overview 4:53:38 - F1 Score Explanation 4:59:17 - Regression Accuracy Metrics 5:07:04 - Finding Best Model Parameters 5:08:52 - Hyperparameter Tuning with Keras Tuner 5:13:04 - Performing Hyperparameter Tuning 5:15:28 - Best Hyperparameters with Keras Tuner 5:20:33 - OUTRO 5:20:42 - Creating Virtual Environment with UV 5:34:08 - Introduction to Iris Dataset 5:35:08 - Iris Dataset Preprocessing 5:48:30 - Building a Neural Network 5:57:41 - Visualizing the Neural Network 6:03:57 - Weights and Biases Visualization 6:13:38 - Calculating Trainable Parameters 6:17:44 - Compiling the Model 6:20:28 - Fitting Model and Visualizing Training with TensorBoard 6:31:01 - Epoch and Batch Size Explained 6:36:33 - Saving the Model 6:38:30 - Making Predictions 6:46:01 - Model Visualization Techniques 7:21:08 - Thank You Roadmap for you : AI /Data Science Pro Level Expert Roadmap - https://euron.one/roadmap/c9361831-c806-45e2-b65c-c3f4c6cd2fa4 NLP expert Roadmap - https://euron.one/roadmap/300bc526-ed55-42e3-9072-43aca6c3ba4f Data Analytics / Business Analytics Expert Roadmap - https://euron.one/roadmap/920278e8-e3c0-4763-a135-ebed66074853 Big Data / Data Engineering Expert Roadmap - https://euron.one/roadmap/98c8db49-2eab-44b7-8fba-7f2b2575ec83 Computer Vision Roadmap - https://euron.one/roadmap/d8281277-5cfd-4498-bbff-4135aa178897 Deep Learning Roadmap - https://euron.one/roadmap/1495a7ba-4297-4cc9-8d68-5460cafb90ca Generative AI Roadmap - https://euron.one/roadmap/2380f611-7475-4343-b7f7-22b765710604 Machine Learning Expert Roadmap - https://euron.one/roadmap/ff514391-328e-4863-b810-0a5c5db6a170 Android- https://play.google.com/store/apps/details?id=com.euron.one&hl=en IOS - https://apps.apple.com/in/app/euron-your-learning-app/id6741360597

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