Lectures related to Neural Networks: Exercises Solutions

Logical Circuits: Basics MOOC: Information, Computation, Communication: Introduction to computational thinking

Covers logical circuits, gates, and their combinations to perform basic operations on bits, including adding binary numbers.

Neural Networks: Two Layers Neural Network

Covers the basics of neural networks, focusing on the development from two layers neural networks to deep neural networks.

Nonlinear Supervised Learning

Explores the inductive bias of different nonlinear supervised learning methods and the challenges of hyper-parameter tuning.

Neural Networks: Training and Activation

Explores neural networks, activation functions, backpropagation, and PyTorch implementation.

Deep Learning: Convolutional Neural Networks

Covers Convolutional Neural Networks, standard architectures, training techniques, and adversarial examples in deep learning.

Logic Systems: TTL Gates and Analog Aspects Log in to Mediaspace to watch this video

Explores TTL gates, analog aspects, and various logic gates in digital circuits.

Introduction to Logisim Evolution: Basics of Digital Circuit Design Log in to Mediaspace to watch this video

Introduces Logisim Evolution, focusing on basic components for digital circuit design.

Complex Gates: Exercise-2 Solution Log in to Mediaspace to watch this video

Covers the design of complex logic gates in VLSI.

Quantum Computing: Molecular Transistors and Logic Gates Log in to Mediaspace to watch this video

Delves into molecular transistors, logic gates, and their design using molecular technology.

Static Logic Fundamentals Log in to Mediaspace to watch this video

Covers the fundamentals of static logic, including noise immunity, noise margins, and various logic gate designs.

Deep Learning Fundamentals Log in to Mediaspace to watch this video

Introduces deep learning fundamentals, covering data representations, neural networks, and convolutional neural networks.

Digital Logic Circuits: CMOS and Verilog Design Log in to Mediaspace to watch this video

Discusses digital logic circuits, CMOS technology, and Verilog for circuit design.

Logic Systems: Karnaugh Maps and TTL Gates Log in to Mediaspace to watch this video

Explores Karnaugh maps, TTL gates, analog aspects of digital logic, and prime implicants.

Deep Learning Fundamentals Log in to Mediaspace to watch this video

Introduces deep learning, from logistic regression to neural networks, emphasizing the need for handling non-linearly separable data.

Feed-forward Networks Log in to Mediaspace to watch this video

Introduces feed-forward networks, covering neural network structure, training, activation functions, and optimization, with applications in forecasting and finance.

Neural Networks: Regression and Classification Log in to Mediaspace to watch this video

Explores neural networks for regression and classification tasks, covering training, regularization, and practical examples.

Deep Learning: Data Representations and Neural Networks Log in to Mediaspace to watch this video

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

Logic Gates and IC Technology Log in to Mediaspace to watch this video

Explores the implementation of logic gates in semiconductor material, focusing on TTL and CMOS technologies, ICs, hazards, clocks, D flip-flops, and switch debouncing.

Neural Networks for NLP Log in to Mediaspace to watch this video

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 Log in to Mediaspace to watch this video

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