What About a 6-Week Machine Learning Project?

What About a 6-Week Machine Learning Project?

Yet another week (4) of my 6 week ML Project just passed. Now, we are done and dusted with the most important and exciting task. YES, I mean training our model with the full data set.

Yet another week (4) of my 6 week ML Project just passed. Now, we are done and dusted with the most important and exciting task. YES, I mean training our model with the full data set.

In the previous weeks, we did quite a lot of work including :

  1. Collecting data set.

  2. Finding the images and labels.

  3. Creating a validation set.

  4. Data into batches. (Week 1).

  5. Building our model for the classification problem.

  6. Creating CallBacks. (Week 2)

  7. Training our model on the subset of data.

  8. Making and evaluating predictions. (Week 3).

    Image for post

And at last the model was trained using the full data set.

Week 4

We trained our model on the subset of data and we found out the prediction probabilities, made the evaluation, visualised the result along with the image on which we are predicting etc.

Even after all this work, we didn’t fortunately encounter any serious error as yet and are good to proceed with our next work that is-to train our model on the full data set.

First of all, we create data batch with the full data set in our hand and we do it for both cat and dog.

full_data_cat = create_data_batches(X_cat, y_cat)
full_data_dog = create_data_batches(X_dog, y_dog)

creating training data batches....
creating training data batches....

transfer-learning tensorflow machine-learning deep-learning google-colab

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