Deep Learning Specialization | Coursera | January 2026
An advanced Deep Learning course on Coursera covering neural networks, optimization algorithms and modern architectures, strengthening both theoretical understanding and practical implementation skills.
Developed and evaluated deep learning models on real-world datasets, gaining hands-on experience in model training, performance tuning and result interpretation.
Studied recent research papers and advanced topics such as CNNs, RNNs, transfer learning and regularization techniques to apply state-of-the-art methods in solving complex engineering problems.
Skills: Neural Networks, Transform Learning, Adam Optimizer, Error Analysis, Hyper-parameter tunning, Resudial Network, Convolution Neural Network (CNN), Recurrent Neural Network (RNN), Word Embeddings, Transformer.
