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Alexnet implementation in tensorflow has incomplete architecture where 2 convolution neural layers are missing. This issue is in reference to the python notebook mentioned below.
https://github.com…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Flood Prediction Using Machine Learning
:red_circle: **Aim** : To develop machine learning models for …
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### Describe the issue
Could not load library cudnn_cnn_infer64_8.dll. Error code 127 when using 1.16.3 CUDA
### To reproduce
SessionOptions.MakeSessionOptionWithCudaProvider())
### Urgency
_No r…
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## Objective
- Implement a model that can perform image colorization, transforming grayscale images into colorized versions using advanced deep learning techniques.
## Tasks
- Data Cleaning & Tra…
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Interesting repo. Your current simple CNN takes 129ms to detect color. Do you have any ideas how to make it faster, maybe 10x faster? Any simpler architectures? Like SVMs, Random Forrests, etc?
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Hello, the model architecture is bilstm-cnn-crf, I want to know where the cnn layer is？
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Hi ,
After i train and freeze to pb file by following commands:
python2 train.py --model_architecture ds_cnn --model_size_info 5 64 10 4 2 2 64 3 3 1 1 64 3 3 1 1 64 3 3 1 1 64 3 3 1 1 --dct_…
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In the implementation of pre-training, you first trained a real-valued resnet to initialize the bnn with the same hyperparameter settings of the original resnet. The architecture of the Bi-Real-net an…
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**MNIST Dataset**
The MNIST dataset is a large collection of handwritten digits that's widely used for training and testing in machine learning, especially in the area of image processing. Here's a…
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## Objective
- Implement a model that can perform image noise reduction, enhancing the quality of images by reducing noise while preserving important features.
## Tasks
- Data Cleaning & Transforma…