Neural Networks: Exercises Solutions

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Covers modern Neural Network approaches to NLP, focusing on word embeddings, Neural Networks for NLP tasks, and future Transfer Learning techniques.

Neural Networks: Basics and Applications

Explores neural networks basics, XOR problem, classification, and practical applications like weather data prediction.

Digital Systems Overview: Evolution and Fundamentals

Explores the evolution of digital systems, covering basics like Boolean algebra and logic gates, and emphasizes teamwork skills and professional vocabulary.

Multi-layer Neural Networks

Covers the fundamentals of multi-layer neural networks and the training process of fully connected networks with hidden layers.

Deep Learning

Covers the fundamentals of deep learning, including data representations, bag of words, data pre-processing, artificial neural networks, and convolutional neural networks.

Complex CMOS Logic Gates

Explores the construction, delay, and sizing of CMOS logic gates, including strategies for transistor sizing and dealing with fan-in.

Quantum Circuits: Classic Circuits

Explores classic circuits in quantum computing, including Boolean functions and reversible gates.

The Hidden Convex Optimization Landscape of Deep Neural Networks

Explores the hidden convex optimization landscape of deep neural networks, showcasing the transition from non-convex to convex models.