Datascience

I have used 4 machine learning models on a task and now I am struggling to plot their bar charts just like shown below in the image. I am printing classification report to get precision, recall etc. My code is shown:

Suppose I want to develop and train a big end-to-end deep learning model using Tensorflow (1.15, for legacy reasons). The objects are complex, with many types of features that can be extracted: vector of numeric features of fixed length, sequences, unordered sets, etc. Thus, the model will include many submodules to deal with various types of features.

I have access t...

Create model:

Compile model:

I have a total of 30k images. They are distributed among 32 classes. I want to save these images from google colab to my drive with folder names as their label name. Can it be possible by python code? Otherwise, it will be a tedious task. Any suggestions will be helpful for me. TIA

For example, I have created this.

So I've been working on this convolutional neural network but my accuracy is stuck at 62% without improving and I'm afraid I'm in rather severe situation with the overfitting issue. I've been trying to play around with the weight decay and learning rate numbers but I wanted to see if I can get some insight on better fixing this problem. I will attach the code below, thanks in...