Course by Imperial College London on Tensorflow 2.0
Lesson 1: Basics of Tensorflow 2.0 and 1.0. (https://github.com/AashiDutt/Tensorflow2.0/blob/master/Lesson1_basic_code.ipynb)
Lesson 2: Weight and biases initializers(https://github.com/AashiDutt/Tensorflow2.0/blob/master/Lesson2_Weights_%26_bias_Initializers.ipynb)
Lesson 3: Metrics(https://github.com/AashiDutt/Tensorflow2.0/blob/master/Lesson3_Metrics.ipynb)
Lesson 4: Building Fashion MNIST Model(https://github.com/AashiDutt/Tensorflow2.0/blob/master/Lesson4_building_fashion_mnist_model.ipynb)
Lesson 5: MNIST Model(https://github.com/AashiDutt/Tensorflow2.0/blob/master/Lesson5_MNIST_Model.ipynb)
Lesson 6: Batch_normalisation(https://github.com/AashiDutt/Tensorflow2.0/blob/master/Lesson6_Batch_normalisation.ipynb)
Lesson 7: Logs dictionary(https://github.com/AashiDutt/Tensorflow2.0/blob/master/Lesson7_Logs%20dictionary.ipynb)
Lesson 8: diabetes_dataset_model(https://github.com/AashiDutt/Tensorflow2.0/blob/master/Lesson8_diabetes_dataset_model.ipynb)
Lesson 9: Additional Callbacks(https://github.com/AashiDutt/Tensorflow2.0/blob/master/Lesson9_Additional%20callbacks.ipynb)