TensorFlow in Machine Learning
Curriculum
- 25 Sections
- 25 Lessons
- 10 Weeks
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- TensorFlow - Introduction1
- TensorFlow - Installation1
- Understanding Artificial Intelligence1
- TensorFlow - Mathematical Foundations1
- Machine Learning and Deep Learning1
- TensorFlow - Basics1
- TensorFlow - Convolutional Neural Networks1
- TensorFlow - Recurrent Neural Networks1
- TensorFlow - TensorBoard Visualization1
- TensorFlow - Word Embedding1
- TensorFlow - Single Layer Perceptron1
- TensorFlow - Linear Regression1
- TensorFlow - TFLearn And Its Installation1
- TensorFlow - CNN And RNN Difference1
- TensorFlow - Keras1
- TensorFlow - Distributed Computing1
- TensorFlow - Exporting1
- TensorFlow - Multi-Layer Perceptron Learning1
- TensorFlow - Hidden Layers of Perceptron1
- TensorFlow - Optimizers1
- TensorFlow - XOR Implementation1
- TensorFlow - Gradient Descent Optimization1
- TensorFlow - Forming Graphs1
- Image Recognition using TensorFlow1
- Recommendations for Neural Network Training1