Description
This online Deep Learning course aims to familiarize learners with all the crucial Deep Learning concepts currently being utilized to solve real-world problems. You will learn about the history and applications of Deep Learning and understand the role of the second wave in DL. Also, comprehend how ML differs from DL, go through the essential terms in Deep Learning called artificial neural networks, and comprehend the Deep Learning fundamentals.
You will also go through the demo on Tensorflow Playground, CNN, and neural networks. Learn about the involvement of a basic set of layers in DL and activation function and CNN. Gain knowledge regarding RNN, LSTM, types of chatbots, and conventional interfaces. Dig deeper into the concept of Deep Neural Networks and go through the concepts like boolean gates, artificial neurons, Rosenblatt Neuron Perceptron, and artificial neural networks and their mechanism in detail with relevant demo and code examples.
Lawali –
“This Introduction to Deep Learning course was fantastic! The material was presented in a clear and concise manner, making complex topics much easier to understand. The practical examples and hands-on exercises were extremely helpful in solidifying my knowledge and building my confidence in applying deep learning techniques. I highly recommend this course to anyone looking to gain a solid foundation in deep learning.”
Agnes –
“Introduction to Deep Learning was a fantastic course! The content was well-structured and easy to follow, even for someone with limited prior knowledge. The instructor explained complex topics clearly, and the practical exercises really helped solidify my understanding. I feel confident now in my ability to start applying deep learning techniques to real-world problems. It gave me a solid foundation to build upon.”
Onyebuchi –
“This Introduction to Deep Learning course was fantastic! The concepts were explained clearly and built upon each other in a logical way. The practical examples were engaging and helped me solidify my understanding. I now feel confident in exploring deep learning further.”
Onyinyechi –
“This Introduction to Deep Learning course provided a solid foundation in the core concepts. The explanations were clear and easy to understand, even for someone relatively new to the field. I especially appreciated the practical examples and hands-on exercises which really helped solidify my understanding and allowed me to apply what I learned.”
Yahya –
“This Introduction to Deep Learning course was fantastic! The material was well-structured and easy to understand, even for someone with limited prior knowledge. The practical examples and assignments really helped solidify my understanding of the concepts, and I feel confident in applying what I’ve learned to my own projects. I highly recommend this course to anyone looking to get started in deep learning.”
Harrison –
“This Introduction to Deep Learning course was fantastic! The content was well-structured and easy to understand, even for someone with limited prior knowledge. I particularly appreciated the practical examples and hands-on exercises, which helped solidify my understanding of the core concepts. I now feel confident in my ability to explore more advanced topics in deep learning.”