Sample code for my blog posts --> [http://hadifar.net]
- Lesson 0: Basic concepts in Neural Networks including: Backpropagation and Optimization here
- Lesson 2: Basic Neural networks implementation with eager.execution and Keras API here
- Lesson 3: Introduction to RNN (SimpleRnn and LSTM) here
- Lesson 5: Transfer learning here
- Lesson 6: OOP in Tensorflow: Case study Word2vec here
- Lesson 7: Sequence to Sequence Models: Case study Machine Translation char-level & word-level
- Lesson -: tf.data and Dataset API here
- Lesson 8: Style Transfer here
- Lesson 9: Text Generation using Recurrent Neural Network here
- Lesson 10: Tensorflow Hub: Case study Spam classification here
- Lesson 11: Google Colab Tutorial: Using GPU and TPU here
- Lesson 13 Bucketing example for Sentiment Analysis in Tensorflow use Tf.data API here