CS 182 Lecture 1, Part 1- Introduction
CS 169 - Software as a Service - Lecture 12
CS 169 - Software as a Service - Lecture 7
CS 169 - Software as a Service - Lecture 8
CS 169 - Software as a Service - Lecture 10
CS 169 - Software as a Service - Lecture 9
CS 169 - Software as a Service - Lecture 1
CS 169 - Software as a Service - Lecture 2
CS 169 - Software as a Service - Lecture 4
CS 169 - Software as a Service - Lecture 11
CS 169 - Software as a Service - Lecture 6
CS 169 - Software as a Service - Lecture 3
تدریس درس زیست شناسی کلاس 302 29 مهرماه
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Remake EGR 245 Lecture 29: Equations of motion for planar motion Rotation about a fixed axis
Statics Lecture 29: Center of Gravity
Lecture 29, Part 1: Finite limits and filtered colimits, category of elements
Lecture 29, Part 2: Finite limits and filtered colimits, category of elements
Precalculus with trigonometry Lecture 29: Compound interest example and natural base
Sh. Mujtaba Khaliq | Jum'ah Khutbah Lecture | Day 29 of Rajab 1440 A 5th, 2019
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Lecture 1 | Machine Learning (Stanford)
Deep Learning Lecture 16:Reinforcement learning
Deep Learning Lecture 10: Convolutional Neural Networks
Deep Learning Lecture 4: Regularization, model complexity and data complexity (p
Lecture 1: Course Overview The Shell (2020)
Lecture 1 | Machine Learning (Stanford)
Deep Learning Lecture 9: Neural networks in Torch
Deep Learning Lecture 12 :Recurrent Neural Nets
Deep Learning Lecture 11: Max-margin learning, transfer and memory networks
Deep Learning Lecture 8: Modular back-propagation, logistic regression and Torch
Deep learning Lecture 7: Logistic regression, a Torch approach
Deep Learning Lecture 6: Optimization
Deep Learning Lecture 5: Regularization, model complexity and data complexity (p
Deep Learning Lecture 3: Maximum likelihood and information
Deep Learning Lecture 2: linear models
Deep Learning Lecture 1: Introduction
Lecture 2: Shell Tools and Scripting (2020)
Lecture 3: Editors (vim) (2020)
