Unconventional Microelectronic Systems

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FPGA Programming with Speedgoat: Real-Time Signal Processing

Focuses on implementing a square function generator using Speedgoat FPGA technology and real-time signal processing techniques.

Convolutional Neural Networks: Filters and Channels

Explores weight sharing, filters, channels, and data augmentation in convolutional neural networks.

Understanding Noise in Electrical Systems

Explores noise sources, Fluctuation-Dissipation Theorem, amplifier noise, interference effects, and quantization error in electrical systems.

Deep Learning: Data Representations and Neural Networks

Covers data representations, Bag of Words, histograms, data pre-processing, and neural networks.

Neural Networks Recap: Activation Functions

Covers the basics of neural networks, activation functions, training, image processing, CNNs, regularization, and dimensionality reduction methods.

Noise in Devices and Circuits

Explores different types of noise in devices and circuits, including interference noise, inherent noise, and random signals.

Neural Signal Compression

Explores analog-to-digital conversion, neural signal optimization, multichannel architectures, and on-chip compression techniques in neuroengineering.

Overfitting: Symptoms and Characteristics

Explores overfitting in polynomial regression, emphasizing the importance of generalization in machine learning and statistics.

Neural Engineering: Fundamentals and Applications

Covers neural engineering fundamentals, brain-computer interfaces, neuroprosthetics, and deep brain stimulation for enhancing human function.

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