-> CNNs:
- rock_paper_scissor_classifier.ipynb
- cnn_tf.ipynb (basic CNN building)
- image_augmentation_tf.ipynb
- object_detection_tf.ipynb
- transfer_learning_tfhub.ipynb
- image_segmentation_tf.ipynb (performing segmentation on Oxford IIIT Pets Dataset)
- audio_analysis_cnn.ipynb (simple audio recognition using STFT and CNNs)
-> RNNs:
- sarcasm_classifier.ipynb
- machine_translation_rnn.ipynb
- poetry_generator_rnn.ipynb
- rnn_tf.ipynb (generic RNN building)
- time_series_forecasting.ipynb
- transformer_nmt.ipynb (contains transformer model to translate from PT to EN) (buggy)
-> Others:
- core_algos.ipynb (ML algos using TF)
- ffnn_tf.ipynb (Feed Forward NN)
- image_captioning_encdec.ipynb (Image Captioning Encoder Decoder Model)
- reinforcement_learning.ipynb (Q-Learning Model)
- autoencoder_tf.ipynb (Regenerating, Denoising and Error Detecting autoencoder)
- audio_transfer_learning.ipynb (Using the YAMNet model to get the embeddings on which we train our own model for classifying animal sounds)