coursera-tensorflow

Google Colab notebooks containing codes I wrote while learning Tensorflow by deeplearning.ai on Coursera.

Course 1: Intro to Tensorflow for AI, ML, and DL

🔗 Link to the course: [ link ]

📄 Certificate of completion [ link ]

🅰️ Grade achieved: 100.0%

All notebooks are saved in this Google Drive link.

Alternatively, you can view the notebooks here on GitHub or in Colab, from the table below.

	📋 Description	🔗 GitHub	🔗 Colab
Week #1	Intro to Tensorflow	[ link ]	[ link ]
	Exercise 1 (House Prices)	[ link ]	[ link ]

Week #2	Fashion MNIST	[ link ]	[ link ]
	Callbacks	[ link ]	[ link ]
	Exercise 2 (MNIST handwritten digits)	[ link ]	[ link ]

Week #3	Convolutional Neural Networks (most execises solved)	[ link ]	[ link ]
	Convolutions sidebar Used some `numpy` to replace some manual multiplication with `np.dot`	[ link ]	[ link ]
	Exercise 3 (convnets on MNIST dataset)	[ link ]	[ link ]

Week #4	Horse-or-Human without validation (needs more work)	[ link ]	[ link ]
	Horse-or-Human with validation	[ link ]	[ link ]
	Compacted images (error freed)	[ link ]	[ link ]
	Exercise 4 (Happy or Sad)	[ link ]	[ link ]

🔗 Link to the course: [ link ]

📄 Certificate of completion [ link ]

🅰️ Grade achieved: 100.0%

All notebooks are saved in this Google Drive link.

Alternatively, you can view the notebooks here on GitHub or in Colab, from the table below.

	📋 Description	🔗 GitHub	🔗 Colab
Week #1	Exploring larger datasets	[ link ]	[ link ]
	Week 1 assignment	[ link ]	[ link ]
	Horses or Humans (with augmentation)	[ link ]	[ link ]

Week #2	Week 2 Assignment (couldn't get the desired accuracy due to possibly corrupt data, as mentioned in epoch 1)	[ link ]	[ link ]

Week #3	Week 3 Assignment (tried with a different last layer, hence accuracy slightly lower than desired)	[ link ]	[ link ]

Week #4	Week 4 Assignment	[ link ]	[ link ]

(Will be reformatted once course is complete)