Introduction
	1.1 Accuracy of a model	00:00:00
	1.2 Balancing a dataset	00:00:00
	1.3 Commenting on the results	00:00:00
	1.4 Creating the batching class	00:00:00
	1.5 Early stopping and batching preparation	00:00:00
	1.6 Homework	00:00:00
	1.7 How to tackle the MNIST dataset	00:00:00
	1.8 Installing the TensorFlow package	00:00:00
	1.9 Laying down the model	00:00:00
	1.10 Laying down the optimizers	00:00:00
	1.11MNIST – Declaring the loss	00:00:00
	1.12 MNIST – Importing libraries and data	00:00:00
	1.13 MNIST – Outlining the model	00:00:00
	1.14 MNIST dataset	00:00:00
	1.15 Optimization	00:00:00
	1.16 Optimizing the algorithm	00:00:00
	1.17 Outlining the model	00:00:00
	1.18 Outlining the solution	00:00:00
	1.19 Output	00:00:00
	1.20 Running the code	00:00:00
	1.21 TensorFlow introduction	00:00:00
	1.22 Test	00:00:00
	1.23 Types of file formats in TensorFlow and data handling	00:00:00

N.A

ratings

No Reviews found for this course.

0 STUDENTS ENROLLED

Deep learning with tensor flow