10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow

10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow: 00:00:00 __ 001 Solving a Business Problem with Image Classification 00:03:55 __ 002 Installing Tensorflow and Keras for Jupyter 00:09:03 __ 003 Gathering the CIFAR 10 Dataset 00:14:09 __ 004 Exploring the CIFAR Data 00:30:07 __ 005 Pre-processing Scaling Inputs and Creating a Validation Dataset 00:46:00 __ 006 Compiling a Keras Model and Understanding the Cross Entropy Loss Function 01:00:32 __ 007 Interacting with the Operating System and the Python Try-Catch Block 01:20:23 __ 008 Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems 01:32:43 __ 009 Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques 01:56:04 __ 010 Use the Model to Make Predictions 02:22:31 __ 011 Model Evaluation and the Confusion Matrix 02:31:31 __ 012 Model Evaluation and the Confusion Matrix