Dev colleagues, TensorFlow 2.0 continues its rapid growth as the premier algorithm library for use with Python. To gain a competitive edge in your development reer here are three hand-picked TF 2.0 programs to sharpen and expand your TensorFlow skillset. First, 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. Next, the Natural Language Processing with TensorFlow 2.0 Specialization from Andrew Ng teaches the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. Gain high-demand/highly marketable skills in Natural Language Processing, Tokenization, Machine Learning, Tensorflow and RNNs. And third, the TensorFlow 2.0 for Deep Learning program provides you with the core of deep learning using TensorFlow 2.0. Train your deep learning networks from scratch, pre-process and split your datasets, train deep learning models for real-world applications, and validate the accuracy of your models. You will learn to Develop real-world deep learning applications and Classify IMDb Movie Reviews using Binary Classification Model.
Sign-up today for one or all programs (individuals & teams welcome):
Much career success, Lawrence E. Wilson - Artificial Intelligence Academy
No comments:
Post a Comment