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Name: MUHAMMAD AKMAL
Type: User
Name: MUHAMMAD AKMAL
Type: User
We utilized the VGG16 model for filter visualization, class activation heatmaps, and the Grad-CAM algorithm. We implemented functions to fetch and manipulate Numpy output values, generate filter visualizations, and create grids of filter response patterns. Through these techniques, we gained insights into the model's learned patter
CatandDogsWithAugmentation
In this project, I worked with a small corpus consisting of simple sentences. I tokenized the words using n-grams from the NLTK library and performed word-level and character-level one-hot encoding. Additionally, I utilized the Keras Tokenizer to tokenize the sentences and implemented word embedding using the Embedding layer. For sentiment analysis
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