Overview:  PyTorch is ideal for experimentation, TensorFlow and Keras excel at large-scale deployment, and JAX offers ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

The Groq Real-time AI Agent Hackathon on MachineHack challenges developers to build multi-agent AI systems that solve ...

Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU ...

Machine Learning is one of the approach of Artificial Intelligence in which Machines become capable of drawing intelligent decisions like humans by learning from its past experiences. In classical ...

We are starting off the course with a busy week. This week's module has two parts. In the first part, after a quick introduction to Deep Learning's exciting applications in self-driving cars, medical ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...