This post is part 3 of my 4 part series on Keras Callbacks. A callback is an object that can perform actions at various stages of training… — This post is part 3 of my 4 part series on Keras Callbacks. A callback is an object that can perform actions at various stages of training and is specified when the model is trained using model.fit(). In today’s post, I give a very brief overview of the Tensorboard callback.

This is Part 2 in my short series on Keras Callbacks. As I stated previously, a callback is an object that can perform actions at various… — This is Part 2 in my short series on Keras Callbacks. As I stated previously, a callback is an object that can perform actions at various stages of training and is specified when the model is trained using model.fit(). They are super helpful and save a lot of lines of…

Training neural networks is an iterative process that can be very time consuming. Rarely do you get the optimal model on your first… — Training neural networks is an iterative process that can be very time consuming. Rarely do you get the optimal model on your first training run. You try a set of hyperparameters then evaluate how well the model performs. Then you do it again with different hyperparameters. Rinse and repeat, often…

Machine learning and deep learning are not trivial subjects. The breadth of the material is pretty amazing. How in the world can we wrap… — Machine learning and deep learning are not trivial subjects. The breadth of the material is pretty amazing. How in the world can we wrap our heads around this mass of information? I would like to share my top 6 online video series about ML and DL. All are available on…

In this two part series, I discuss what I consider to be two of the most important hyperparameters that are set when training… — In this two part series, I discuss what I consider to be two of the most important hyperparameters that are set when training convolutional neural networks (CNNs) for image classification or object detection. These are learning rate and batch size. In this second part, I will discuss batch size. For…

In this two part series, I am going to discuss what I consider to be two of the most important hyperparameters that are set when training… — In this two part series, I am going to discuss what I consider to be two of the most important hyperparameters that are set when training convolutional neural networks (CNNs) for image classification or object detection. These are learning rate and batch size. In this first part, I will discuss…

People have asked me about how Artificial Intelligence (AI) is being used in the fight against COVID-19. The answer is that it is being… — People have asked me about how Artificial Intelligence (AI) is being used in the fight against COVID-19. The answer is that it is being used in myriad of ways! In this blog, I’ve discussed five innovative AI projects being used to help stop this global pandemic and save lives.

Customers often ask me about how to operationalize the machine learning models they have created. It’s common that they have the model… — Customers often ask me about how to operationalize the machine learning models they have created. It’s common that they have the model, but are struggling with how to apply it to new or existing business data sets. Another line of questioning is about “How do we move the machine learning…

Data science, at its core, is about time. Time to increasing sales, time to finding cures for diseases, time to understanding. Thus, it is… — Data science, at its core, is about time. Time to increasing sales, time to finding cures for diseases, time to understanding. Thus, it is critical to think about what hardware you are using for deep learning training, which is by far the most computationally intensive part of artificial intelligence and…