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The Emergence of the Modern Middle East - Part I
Moralities of Everyday Life
Technical Report Writing for Engineers
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Dive into deep generative modeling with this MIT lecture series. Learn about autoencoders, variational autoencoders, generative adversarial networks, and more in just 1-2 hours.
Explore deep learning limitations and new frontiers with MIT's Alexander Amini. Understand neural networks, adversarial attacks, uncertainty, and AutoML in under an hour.
Dive into Deep Reinforcement Learning with MIT's Alexander Amini. Understand key concepts, Q-function, algorithms, and policy gradient in under an hour.
Dive into Deep Generative Modeling with MIT's Alexander Amini. Learn about autoencoders, VAEs, GANs, and more in under an hour.
Dive into deep learning with MIT's concise material on Convolutional Neural Networks, covering feature extraction, backpropagation, and real-world applications.
Dive into deep sequence modeling with recurrent neural networks in this MIT lecture. Learn to predict words, understand long-term dependencies, and explore LSTM and RNNs.
Dive into the foundations of Deep Learning with MIT's Alexander Amini. Learn about perceptrons, neural networks, loss optimization, and more in under an hour.
Explore end-to-end learning strategies for autonomous driving with Alexander Amini's talk. Learn about steering bounds, decision-making challenges, and integrating uncertainty estimation. Less than 1-hour workload.
Explore deep learning and its applications in computer vision and social networks with this MIT program. Learn about image enhancement, video classification, and more in under an hour.
Dive into deep learning with MIT's concise program on sequence modeling with neural networks, featuring guest lectures from Google, NVIDIA, IBM, and Tencent.
Explore deep learning and reasoning with MIT's Alexander Amini in under an hour. The program includes lectures from IBM, Google, NVIDIA, and Tencent guests.
Explore deep learning's limitations and new frontiers in this concise, less than 1-hour program by Alexander Amini, featuring guest lectures from Google, NVIDIA, IBM, and Tencent.
Dive into Deep Learning with MIT's concise program. Learn about computer vision, feature extraction, convolutional layers, and real-world applications in under an hour.
Dive into Deep Learning with Alexander Amini's MIT lectures, covering foundations, sequence modeling, computer vision, generative models, and more in under an hour.
Learn to tame dataset bias via domain adaptation in this MIT lecture. Understand real-world implications, adversarial domain alignment, and enforcing consistency in under an hour.
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