Going Deeper: how to build and train your own models using neural networks with PyTorch or TensorFlow
First of all, Deep learning is a subfield of machine learning that involves using neural networks to build models that can process and make predictions on data. These neural networks are typically composed of multiple layers, with the first layer receiving input data and each subsequent layer building on the previous one to learn increasingly…