TensorFlow 2.0 Masterclass: Hands-On Deep Learning and AI

Strong Understanding of TensorFlow 2.0 from Vary Beginning Artificial Neural Networks (ANNs) in Tensorflow 2.0 Convolutional Neural Networks (CNNs) in Tensorflow 2.0 Deep Neural Networks (DNNs) in TensorFlow 2.0 Deep Learning Algorithms from Scratch in Python Using NumPy, Pandas, Matplotlib and TensorFlow 2.0 Activation Function, Cost Function, Gradient Descent and Backpropagation Over-fitting, Under-fitting, Training, Validation, Testing, and Initialization Google has recently released TensorFlow 2.0, it has so many features that simplify the model development, maintenance, processes and performanceNow it is very easy to build and deploy AI models in practice! Deep Learning is one of the fastest growing field of Artificial Intelligence, Deep Learning models can solve very hard and complex tasks... Strong Understanding of TensorFlow 2.0 from Vary Beginning Artificial Neural Networks (ANNs) in Tensorflow 2.0 Convolutional Neural Networks (CNNs) in Tensorflow 2.0 Deep Neural Networks (DNNs) in TensorFlow 2.0 Deep Learning Algorithms from Scratch in Python Using NumPy, Pandas, Matplotlib and TensorFlow 2.0 Activation Function, Cost Function, Gradient Descent and Backpropagation Over-fitting, Under-fitting, Training, Validation, Testing, and Initialization Strong Understanding of TensorFlow 2.0 from Vary Beginning