Fast Track course on DEEP LEARNING using tensorflow - keras :
(PART - 1 only)
1. Popular Applications of DNN
2. What is a Neuron ?
3. What is Perceptron and MLP ?
4. What is ANN and DNN ?
5. What is Gradient Descent ?
6. Need for Back Propagation
7. What is TensorFlow ?
8. TensorFlow Code Basics
9. Building(i.e Coding) a Linear Regression model using TensorFlow
10. Loss function - Model Validation
11. Quick intro to tensorflow-Keras
12. TensorFlow - Keras Use-case - Classifying Fashion Images
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