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Image enhancement and model fine tuning learning essay Image enhancement learning objectives Know the common methods of image enhancementAble to use TF Keras to complete image enhancement Large scale data set is the premise of successful application of deep neural network. For example, we can crop the image in different ways to make th ...

Visualization helps to explain and understand the internal structure of deep learning model. Through the visualization of the model calculation diagram, we can find out how the neural network is calculated. The visualization of the model mainly includes the following aspects: How many layers does the model haveInput and output shapes of each l ...

Another widely used model reuse method is fine tuning, which complements feature extraction. For the frozen model base used for feature extraction, fine tuning refers to "thawing" the top layers, and jointly training the thawed layers with the newly added part (in this case, the fully connected classifier). It is called fine tuning be ...

The original address is here. What is word embedding? Word embedding is a series of natural language processing technologies aimed at mapping semantics to geometric space. This is done by associating a number vector with each word in the dictionary, so that the distance between any two vectors (such as L2 distance or more commonly cosine d ...

matters needing attention This is the reconstructed deep labv3 + semantic segmentation network, mainly the construction on the file framework and the implementation of code. Compared with the previous semantic segmentation network, it is more complete and clearer. It is recommended to learn this version of DeeplabV3 +. Study Preface Deep ...

Rimeng Society AI AI:Keras PyTorch MXNet TensorFlow PaddlePaddle deep learning real combat (irregular update) 4.6 TF common function modules 4.6. 1. Detailed explanation of callback of fit Callbacks are a set of functions that are applied at a given stage of the training process. Callbacks can be used to obtain views of internal status a ...

Rimeng Society AI AI:Keras PyTorch MXNet TensorFlow PaddlePaddle deep learning real combat (irregular update) 4.5 Keras Pipline and custom model The Subclassing API of keras is used to establish the model, that is, TF keras. The model class is extended to define its own new model, and the process of training and evaluating the model is wr ...

Tensorflow learning (using jupyter notebook) preface   as an important research field rising in recent years, deep learning has been applied in many fields. In the next few years, the heat of in-depth learning will continue to be hot. 1, Relationship between tensorflow and keras   TensorFlow and Keras are frameworks that ...

I. Introduction Problem: Existing CNN s require fixed-size input pictures, which can be achieved by clipping or distorting the original image. These two methods may have different problems: (i) The clipped area may not contain the whole object; (ii) The distortion operation results in unnecessary geometric distortion of the target. If the targ ...

  deep learning "hello world“( [deep learning practice 1]: handwritten numeral recognition based on Keras (very detailed, open source code) )It has been updated. If you can recognize handwritten digits, it means that one foot has stepped into the door of deep learning!   today, the blogger brings the second practical conte ...