Deep Learning

Deep Learning is designed to provide you with a comprehensive understanding of deep learning. Throughout this course, you will delve into various deep learning models, learn about neural network topologiesYou will gain hands-on experience with TensorFlow and its different data types, and learn how to use frameworks such as Keras for building and training models. The course covers essential deep learning concepts including convolutional and recurrent neural networks, autoencoders, and data augmentation techniques, culminating in a hands-on project to solidify your learning. This course covers crucial topics, including the principles and applications of deep learning, the structure and functioning of neural networks, and practical implementation using TensorFlow and Keras. You will also learn how to work with datasets such as MNIST, and apply advanced techniques like data augmentation to enhance model performance.