Building Networks With TensorFlow / Keras

Summary

Google's deep learning framework — Keras (now built into TensorFlow) offers a high-level, approachable API for defining, training and evaluating neural networks.

How to Learn This

1Build and train a simple feedforward network in Keras on a small dataset.
2Learn the standard workflow: define model, compile, fit, evaluate.
3Compare training curves (loss/accuracy) between training and validation sets.

Backpropagation & Gradient Descent

Building Networks With PyTorch

More topics in Deep Learning Fundamentals

Neural Network Basics Activation Functions Backpropagation & Gradient Descent Building Networks With PyTorch Convolutional Neural Networks (CNNs)Recurrent Neural Networks (RNNs) & LSTMs Transfer Learning Regularization in Deep Learning (Dropout, Batch Norm)GPUs & Training Basics

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