A complete, student-friendly guide to building and training neural networks with tensorflow deep learning. Perfect for beginners and students who want to master this concept with practical examples and hands-on exercises.
A complete, student-friendly guide to deep learning frameworks: tensorflow and keras. Perfect for beginners and students who want to master this concept with practical examples and hands-on exercises.
A complete, student-friendly guide to hyperparameter tuning and model selection deep learning. Perfect for beginners and students who want to master this concept with practical examples and hands-on exercises.
A complete, student-friendly guide to training and evaluating deep learning models. Perfect for beginners and students who want to master this concept with practical examples and hands-on exercises.
A complete, student-friendly guide to generative adversarial networks (GANs) deep learning. Perfect for beginners and students who want to master this concept with practical examples and hands-on exercises.
A complete, student-friendly guide to IoT security challenges ethical hacking. Perfect for beginners and students who want to master this concept with practical examples and hands-on exercises.
A complete, student-friendly guide to using graphql with django. Perfect for beginners and students who want to master this concept with practical examples and hands-on exercises.
A complete, student-friendly guide to mobile application security ethical hacking. Perfect for beginners and students who want to master this concept with practical examples and hands-on exercises.
A complete, student-friendly guide to continuous integration and deployment for django applications. Perfect for beginners and students who want to master this concept with practical examples and hands-on exercises.
A complete, student-friendly guide to monitoring and debugging Elixir applications. Perfect for beginners and students who want to master this concept with practical examples and hands-on exercises.