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)