Deep Learning Algorithms With TensorFlow 2.0

Colleagues the Deep Learning Algorithms With TensorFlow 2.0 program will train you to build Deep Learning neural networks with TensorFlow 2.0. Deep Learning has become the dominant method for speech recognition (Google Assistant), computer vision (search for "my pictures" on Google Photos), language translation, and even game-related Artificial Intelligence (AlphaGo and DeepMind). Gain a solid understanding of Deep Learning models and use Deep Learning techniques to solve business and other real-world problems to make predictions quickly and easily. You’ll learn various Deep Learning approaches such as CNN, RNN, and LSTM and implement them with TensorFlow 2.0. You’ll program a model to classify breast cancer, predict stock market prices, and process text as part of Natural Language Processing (NLP). Grasp what Deep Learning and TensorFlow 2.0 are and what problems they have solved and can solve, Study the various Deep Learning model architectures, Apply neural network models, deep learning, NLP, and LSTM to several diverse data classification scenarios, including breast cancer classification; predicting stock market data for Google; classifying Reuters news topics; and classifying flower species, and Apply your newly-acquired skills to a wide array of real-world scenarios. Skill-based training modules include: 1) Deep Learning Introduction and Environment Setup, 2) Building Your First Neural Network for Tabular Data with TensorFlow 2.0, 3) Convolutional Neural Networks with TensorFlow 2.0, 4) Recurrent Neural Network with TensorFlow, 5) Long Short-Term Memory Networks (LSTM), and 6) Transfer Learning with TensorFlow.

Enroll today (individuals & teams welcome): https://tinyurl.com/yakxdynr 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy