Deep Learning Essentials

 Deep Learning Essentials - AWFERA Innovation 

This series is based on the course of AWFERA. Here you will get article base over-view of lecture for getting quick summary and main theme of the lectures. 

Course Overview:

This course offers a robust foundation in deep learning, organized into four modules. It begins with the fundamentals of neural networks, progresses to advanced optimization and regularization techniques, explores specialized architectures like CNNs and RNNs, and culminates with practical implementation and deployment using frameworks such as TensorFlow, Keras, and PyTorch. Combining theoretical insights with hands-on projects, this course is ideal for aspiring data scientists, machine learning practitioners, and technology enthusiasts aiming to apply deep learning to real-world challenges.

So Here you will get them in article base form 

Lecture 1: Introduction to the Course

Lecture 2: Course Introduction & Overview (Part 1)

Lecture 2 : Applications of Deep Learning (Part 2)

Lecture 3 : Introduction to Neural Network  

Lecture 4: Logistic Regression Algorithm  for Neural Networks