Computer Vision Using Deep Learning: Neural Network Architectures With Python And Keras

Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem

Deep Learning with Python/ Keras

The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners will study all popular building blocks of neural networks including fully connected layers, convolutional and recurrent layers.

Deep Learning with Python/ Keras

Deep Learning with Python/ Keras

Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x
Deep neural networks (DNNs) have achieved a lot of success in the field of computer vision, speech recognition, and natural language processing. The entire world is filled with excitement about how deep networks are revolutionizing artificial intelligence. This exciting recipe-based guide will take you from the realm of DNN theory to implementing them practically to solve the real-life problems in artificial intelligence domain.

Practical recipes on Neural Network modeling, Reinforcement & Transfer Learning using Python's Deep Learning tools