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Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.

Jupyter Notebook 98.66% Python 1.34%
neural-networks cnn-for-visual-recognition rnn-lstm transfer-learning hyperparameter-tuning structuring-ml-projects audio-processing voice-activity-detection coursera mlp

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coursera_deep_learning_specialization's Issues

No answer about backward

The answer to the backward in the file seems to be blank. Can the author re-upload it? I hope to get a reference, thank you!

Encoder in C5_W4_A1_Transformer_Subclass_v1

Hi Ankit,
great work on C5_W4_A1_Transformer_Subclass_v1. But I have a problem in the Encoder and Decoder part. I went about with the same approach as you. But I get an error saying wrong values.
Would you be able to help me? Would really appreciate it.
2021-12-09 15_41_00-Window

C4W2 Transfer Learning no dataset directory

Hi, thanks for sharing the code, can please you upload dataset directory of Transfer Learning with Mobilenet assignment ? or at least the link of it so I can download ? Thanks a lot !

C5_W4_Name Entity Recognition: missing files in model folder

In C5 - Sequence Models/ Week4/ Named Entity Recognition, Transformer_application_Named_Entity_Recognition.ipynb

1.4 - Optimization
model = TFDistilBertForTokenClassification.from_pretrained('model/', num_labels=len(unique_tags))
OSError: Error no file named ['pytorch_model.bin', 'tf_model.h5'] found in directory model/ or from_pt set to False

Can you add pytorch_model.bin and tf_model.h5 in the model directory?

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