AI6 Cycle 2: Research-Focused Track


Lecture 18: Tackling the Limits of Deep Learning for NLP [CS224n NLP With Deep Learning] (1)
Wiki: Lecture 17: Issues in NLP and Possible Architectures for NLP [CS224n NLP With Deep Learning] (1)
Wiki: Lecture 7: Introduction to Tensor Flow [CS224n NLP With Deep Learning] (1)
Best practices for Machine Learning [Deep Learning Discussions] (1)
Problem training Yolo on handwritten digits [Deep Learning Discussions] (1)
Wiki: Lecture 11 - Gated Recurrent Units and Further Topics in NMT [CS224n NLP With Deep Learning] (1)
Assignment #1 - two_layer_network - different loss [Stanford CS231n CNNs for Visual Recognition] (10)
Retrain a Pre-trained Model without Forgetting Existing Classes [Stanford CS231n CNNs for Visual Recognition] (6)
Cannot Figure Out Where Softmax is Going Wrong [CS224n NLP With Deep Learning] (4)
Creating a custom F1 loss function [Deep Learning Discussions] (1)
Downloading Architecture [Deep Learning Discussions] (2)
Questions on YOLO [Stanford CS231n CNNs for Visual Recognition] (5)
Google Cloud Platform setup [Stanford CS231n CNNs for Visual Recognition] (2)
How does Convolution works? [Deep Learning Discussions] (6)
[Wiki] Lesson 1 Introduction to RL [UCL Reinforcement Learning] (4)
Why is Relu Non-linear [Deep Learning Discussions] (5)
Wiki: CS231n Lecture 6 – Training Neural Networks, part I [Stanford CS231n CNNs for Visual Recognition] (1)
Different fully connected layer and forward pass [Deep Learning Discussions] (2)
Why do we use the same non-linearity/activation function throughout a layer? [Deep Learning Discussions] (5)
Implementation of Bidirectional LSTM Encoder-Decoder with Attention [CS224n NLP With Deep Learning] (2)
Best practices for Hyperparameter Optimization? [Deep Learning Discussions] (9)
Which libraries do you like and why? [Deep Learning Discussions] (7)
Conv2D kernel elements [Deep Learning Discussions] (2)
Big Data Machine Learning [Deep Learning Discussions] (5)