Deep Learning Full Course | Complete Lecture for Beginners to Advanced
Welcome to this comprehensive Deep Learning lecture where you will learn everything from the basics to advanced concepts in Artificial Intelligence and Neural Networks. This video is perfect for students, beginners, and professionals who want to build a strong foundation in deep learning.
In this lecture, we cover:
• Introduction to Deep Learning & Machine Learning
• Artificial Neural Networks (ANN)
• Activation Functions (ReLU, Sigmoid, Tanh)
• Forward & Backpropagation
• Gradient Descent Optimization
• Convolutional Neural Networks (CNN)
• Recurrent Neural Networks (RNN, LSTM, GRU)
• Transformers & Modern AI Models
• Overfitting & Regularization Techniques
• Real-world Applications of Deep Learning
By the end of this lecture, you will:
✔ Understand how neural networks work
✔ Learn how deep learning models are trained
✔ Gain knowledge of modern AI architectures
✔ Be ready to start building your own AI projects
Tools & Frameworks discussed:
TensorFlow, PyTorch, Keras
Who is this video for?
• Students (B.Tech, BCA, MCA, Data Science)
• Beginners in AI & Machine Learning
• Anyone interested in Deep Learning
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