Deep learning lecture
(tensor flow based..)
part 1.
1. logistic classification
2. stochastic optimization
3. general data practices to train models( data & parameter tuning)
part 2. (we're going to go deeper)
1. Deep networks
2. Regularization (to train even bigger models)
part 3. ( will be a deep dive into image and convolutional models)
1. convolutional networks
part 4. (all about text and sequence in general)
1. embeddings
2. recurrent models
2/22/2016
deep learning study (introduction) #1
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CUDA_ARCH_BIN Table for gpu type Jetson Products GPU Compute Capability Jetson AGX Xavier 7.2 Jetson Nano 5.3 Jetson TX2 6.2 Jetson TX1 5.3 ...
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In past, I wrote an articel about YUV 444, 422, 411 introduction and yuv <-> rgb converting example code. refer to this page -> ht...
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As you can see in the following video, I created a class that stitching n cameras in real time. https://www.youtube.com/user/feelmare/sear...
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make different port number Window > .\python_embeded\python.exe -s ComfyUI\ main.py --port 8189 --windows-standalone-build Linux or Ma...
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Image size of origin is 320*240. Processing time is 30.96 second took. The result of stitching The resul...
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* Introduction - The solution shows panorama image from multi images. The panorama images is processing by real-time stitching algorithm...
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On the window, we made new file easily by right button click. But on the mac, there is no function. So, very incompatible... By the way, ...
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This is example for background subtraction on opencv 3.2 version previously, I post 2.7 version example on here. http://study.marearts.co...
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error: . VanillaPipeline.get_train_loss_dict: 12.6875 Traceback (most recent call last): File "/home/mare/anaconda3...
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>sudo lsof -i :8188 python 231134 mare 45u IPv4 2074469 0t0 TCP localhost:8188->localhost:42132 (CLOSE_WAIT) python 23113...
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