Learning Deep Learning and Neural Networks with TensorFlow

Learning Deep Learning and Neural Networks with TensorFlow

Learning Deep Learning and Neural Networks with TensorFlow
Learning Deep Learning and Neural Networks with TensorFlow, Learn Deep Learning, Neural Networks, Machine Learning and Data Science with Python and Tensor Flow
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  • Created by The DataScience Stealth
  • English
  • English [Auto-generated]


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What you'll learn
  • Softmax Regression
  • Computation Graphs
  • Understanding TensorFlow Basics
  • Graphs, Sessions, and Fetches
  • Fetches
  • Flowing Tensors
  • Nodes Are Operations, Edges Are Tensor Objects
  • Casting
  • Tensor Arrays and Shapes
  • Variables, Placeholders, and Simple Optimization
  • Deep Learning
  • Neural Networks
  • MSE and Cross Entropy
  • The Gradient Descent Optimizer
  • Linear Regression
  • Convolutional Neural Networks
  • Pooling
  • Dropout
  • Vanilla RNN Implementation
  • RNN
  • The RNN step
  • Sequential outputs
  • TensorFlow Built-in RNN Functions
  • RNN for Text Sequences

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