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AXIOM Team Talk Volume 13.1
Machine Learning Lecture 23 "Kernels Continued Continued" -Cornell CS4780 SP17
Lecture 1, Advanced Inference in Graphical Models
Jennifer Chayes - Machine Learning for Biomedicine at Scale
Andrea Lodi - Machine Learning for Combinatorial Optimization
Machine Learning Lecture 15 "(Linear) Support Vector Machines continued" -Corn
Lesson 5: Deep Learning 2019 - Back propagation; Accelerated SGD; Neural net f
Deep Learning Lecture 12: Recurrent Neural Nets and LSTMs
简直逆天!李永乐老师深度讲解AI!带你了解电脑如何像人一样思考,带你学习AI前沿技术/人工智能/机器学习/深度学习/神经网络/计算机技术
ML Tutorial: Bayesian Machine Learning (Zoubin Ghahramani)
Machine Learning Lecture 32 "Boosting" -Cornell CS4780 SP17
The Ancient Secrets of Computer Vision - 11 - More Machine Learning for Comput
Lecture 1: Solving Problems by Searching
Yann LeCun Lecture 1/8 Why Deep Learning ?
Machine Learning Lecture 28 "Ball Trees / Decision Trees" -Cornell CS4780 SP17
Lecture 11 - SVM - 2014
DeepMind's Nando de Freitas - Learning to Learn
Deep RL Bootcamp Lecture 8 Derivative Free Methods
这可能是B站讲的最好的AI大模型教程,一周吃透AI大模型(LLM+RAG系统+GPT-4o+OpenAI) 让你少走99%弯路!(2024最新版)
Stanford Seminar - "Deep Learning for Dummies" Carey Nachenberg of S
Oliver Zeigermann - Introduction to Convolutional Neural Networks using Tensor
Helmut Bölcskei - Fundamental limits of deep neural network learning
关于我只用两个月就结合AI发了SCI1区论文——经验分享和本人案例
Yann LeCun and Christopher Manning discuss Deep Learning and Innate Priors
Safety Verification for Deep Neural Networks (ICST2018)
Sparsity in Neural Networks (Brains@Bay Meetup)
Text By the Bay 2015: Adam Gibson, NLP And Deep Learning: Working with Neural
Inherent Trade-Offs in Algorithmic Fairness
Prof. Yoshua Bengio - Deep learning & Backprop in the Brain
【全网最细】逼自己一周吃透AI大模型(LLM+RAG系统+GPT-4o+OpenAI)通俗易懂,2024最新版,学完即就业!!
Reinforcement learning with open-ended algorithms at Uber
草履虫都能学会!十天学完CNN、RNN、GAN、GNN、DQN、Transformer、LSTM等十大深度学习神经网络!学不会你来打我!人工智能/pytorch
Machine Learning Lecture 33 "Boosting Continued" -Cornell CS4780 SP17
Statistical learning with big data. A talk by Trevor Hastie
Logging and ranting / Vytis Valentinavičius (Lamoda)
Segmentation of Brain Tumors from MRI using Deep Learning
Personalized Machine Learning: Towards Human-centered Machine Intelligence
17 - Hyperparameter Optimization - Ben Albrecht
Chip Huyen Interview: Machine Learning Interviews | MOOCS and Deep Learning at
Training Model - Deep Learning and Neural Networks with Python and Pytorch p.4