Deep Learning:The Complete Guide with CNN and ANN

Within the AI ecosystem, Deep Neural Network or CNN are the most popular sub-fields that promise to change multiple businesses globally. Moreover, a tremendous interest in CNN has emerged in recent years. It is mostly because of its property of ‘spatial in variance' that is useful for computer vision and other similar tasks.

Probably this is why CNN has managed to become one of the hottest topics of artificial intelligence. To give you a complete understanding of this concept, we have curated this exclusive online tutorial that will help you learn all the aspects of Deep Neural Network or CNN and Artificial neural nets (ANN)What You'll Learn. This course unfolds with the basic intro of Deep Learning and then directly jumps into CoLab & other essential tools of Neural Networks & Artificial Neural Network.

As it progresses, it will give you detailed insights into architectures of CNN, convolutional layers, fully connected layers, and training a deep neural network. In the end, it is also supported by a project that entirely revolves around Deep Neural Network & CNN. This Course Includes:l Intro- Deep Learning, CoLab,l Neural Networks- Working, APIs, Architecture, Training & Testingl Artificial Neural Networks- Working, Learning, Gradient Descent, Backpropagation, SGD, Optimizationl CNN- Architectures, Convolutional Layers, Pooling, Fully Connected Layers, Activation Functions, Training Deep Neural Networksl Project on Deep Neural Network & CNNBegin with this course to learn CNN & harness the true power of Deep Learning.