Deep Learning :Adv. Computer Vision (object detection+more!)

🌟 Course Title: Deep Learning: Advanced Computer Vision (Object Detection & More!)

🚀 Course Headline: Unlock the Power of AI with TensorFlow Object Detection, Transfer Learning, and Real-Time Projects! 🚀

🎉 Latest Update: Master both pretrained model utilization and training custom models with a new dataset using Google Colab's powerful GPU environment.

📚 Course Description: Dive into the world of Advanced Computer Vision with our comprehensive course that goes beyond the basics. This isn't just an extension of what you've learned before; it's a leap into cutting-edge technologies and methodologies.

• ✅ Upcoming Project Details: We'll kick off our journey on Google Colab, leveraging its capabilities to enhance your learning experience with free GPU access.

• 🧠 Bridging the Gap: Transition from the fundamental CNN architecture you're familiar with to advanced architectures such as ResNet and Inception.

• 🎯 Object Detection Mastery: Delve into the intricacies of object detection using both TensorFlow Object Detection API and YOLO algorithms.

• 🚀 State-of-the-Art Techniques: Explore the latest in CNN advancements with RESNET and MobileNetV2, which promise speed and precision over previous models.

• 🤖 Core Basics of CNNs: Understand how CNNs evolve into powerful object detection tools like YOLO and TensorFlow, step by step.

• 📊 Hands-On Experience: Gain valuable hands-on experience in training models with minimal math, avoiding complex low-level code, primarily using Keras for a smooth learning curve.

Amazing Facts About This Course:

• 🌟 Full hands-on experience training models on Google Colab GPU.
• ✖️ Minimal focus on the inner workings of CNNs (we've got that covered already).
• 🚀 Nearly zero math involved, making it accessible to a broader audience.
• 🛠️ Most code examples in Keras, minimizing tedious and repetitive tasks.

Suggested Prerequisites:

• ✅ Experience building, training, and using a CNN using Python (CNN knowledge preferred).
• ✅ Understanding of the theoretical concepts behind convolution and neural networks.
• ✅ Solid Python coding skills, especially within data science and the Numpy Stack.

Who is this course for?

• 👩‍🎓 Students and professionals aiming to advance their knowledge in computer vision and deep learning.
• 🧠 Those interested in exploring object detection algorithms like SSD and YOLO.
• 🖌️ Aspiring coders for neural style transfer applications.
• 🚀 Individuals looking to leverage transfer learning for efficiency and performance.
• 📈 Beginners in computer vision who want a strong foundation.

Join us on this exciting journey into the depths of Advanced Computer Vision with Deep Learning. Whether you're looking to enhance your career, expand your knowledge, or simply satisfy your curiosity about AI and machine learning, this course will equip you with the skills and knowledge to excel in the field of computer vision. Sign up now and take your first step towards becoming a Deep Learning expert! 🚀✨