Part 1 (2017)
Welcome to forums.fast.ai
(
2
3
)
(53)
About the Part 1 (2017) category
(4)
Nvidia gpu
(3)
Device-side assert triggered - THCTensorCopy
(13)
How to custom pretrained model to concat scalar data in FC layer
(1)
Errors when I run lesson3-rossman
(3)
Need for set_rf_samples
(2)
Airbnb challenge similar to rossman
(5)
CUDA lib not working after suspend on Ubuntu 16.04
(6)
VGG16 memory VS parameter in 3D model
(1)
Proc_df problem need at least one array to concatenate [Solved]
(5)
Setup problems: AWS
(
35
36
37
38
39
40
41
42
43
44
45
46
)
(915)
How does fastai does so efficient memory management?
(1)
SGDR vs CLR
(3)
PyTorch - Best way to get at intermediate layers in VGG and ResNet?
(3)
How to set up env using Google Cloud?
(
2
3
4
)
(78)
Creating embeddings from scratch
(1)
Issue with bootstrapping for time series data
(1)
Lesson2: from planet import f2 metrics=[f2]?
(3)
Cats vs Dogs "as a service" (python Flask wrapper for CNN)
(5)
Clarification for local minima in neural networks
(4)
Lesson 1 discussion
(
22
23
24
25
26
27
28
29
30
31
32
33
)
(655)
My note on Lesson-1: Image Recognition, Cats & Dogs A Cognitive use-case by implementing a Supervised Learning for Image Classification
(3)
Floyd - alternative to AWS P2 instance
(
2
3
4
)
(68)
Documentation of fastai library?
(5)
Setup problems: Running the Lesson 1 Notebook
(
2
3
4
)
(66)
Loading Data into fastai
(4)
Precomputing conv layer outputs of Inception-v3 model
(4)
Data augmentation for NLP
(14)
Lesson 1: File structure in train folder in \dogscats\
(3)
next page →
