$200!! Machine Learning, Artificial Intelligence and Deep Learning training
2 day Deep Learning and AI Training Erudition Inc. Erudition Inc. is offering AI Deep Learning training on September 28-29 2019. Our mission: Erudition Inc.'s mission is to provide education in emerging technologies to masses at no cost or very affordable rate. What is life's objective at the end of the day? Life is fleeting, and permanence in this world is something we all strive for. The best way to achieve permanence is through sharing knowledge. Doesn't matter if you are aligned to left brain or right brain you can join Erudition in your Emerging Technologies training!! We will also provide interview help and placement services. You will get USD300.00 worth of books for Free!! That are written by Bhairav Mehta and other authors. Time Date : Sept 28-29 2019 9AM to 6PM Location: TBD San Jose CA Instructor: Bhairav Mehta Bhairav Mehta is Data Science Manager at Apple Inc. He has 15 years experience in Analytics and Data Science space at various fortune 100 companies. Bhairav Mehta is academician and tenured faculty at various Bay area Universities. Bhairav Mehta has taught 1000s of students in AI, ML and Big Data technologies over last 5 years. He also gives talks at Association of Computing Machinery (ACM), IEEE Computer Science society, Global Big Data and AI conferences, Open Data science conference and other forums. Bhairav Mehta has 5 graduate degrees from top institutes: MS Computer Science (GeorgiaTech), MBA (Cornell University), MS Statistics (Cornell University) etc. Linkedin Profile: https://www.linkedin.com/in/mehtabhairav/ Erudition Website: http://www.eruditionsiliconvalley.com Bhairav Mehta talk videos and other conference proceedings: https://bit.ly/2MrMbGV What is this course about? What do web search, speech recognition, face recognition, machine translation, autonomous driving, and automatic scheduling have in common? These are all complex real-world problems, and the goal of artificial intelligence (AI) is to tackle these with rigorous mathematical tools. In this course, you will learn the foundational principles that drive these applications and practice implementing some of these systems. Specific topics include machine learning, search, game playing, Markov decision processes, constraint satisfaction, graphical models, and logic. The main goal of the course is to equip you with the tools to tackle new AI problems you might encounter in life. Schedule: Day 1 Overview and Introduction Introduction to Neural Networks Current /Future Industry Trends Your First Neural Network Google Colab Cloud Platform Intro and Set up ML introduction Machine Learning Algorithms and examples of each. Unsupervised and Supervised algorithms Machine Learning Applications and Usecases Gradient Descent, Error function Training Neural Network Tensorflow, Keras, Theano, Lasagne, Torch, Caffe introduction Tensorflow Labs Tensorflow and Keras labs for simple classification and clustering. Supervised and unsupervised. Regularization Intro Neural Network Architecture and Hyper Parameter tuning Convolution Neural Network Labs with Tensorflow and CNN, CNN with Regularization CNN in Tensorflow Weight Initialization Auto Encoders Transfer Learning ImageNet, LeNet, Alexnet, VGGNet, Inception, ResNet Object Detection Auto Encoder and Transfer learning labs Image Segmentation Face Detection Image Classification Labs with Keras and TensorFlow Day 2 Advanced Object Detection methods: R-CNN, F R-CNN, YOLO, Mask R-CNN, Labs Labs for Image Classification Labs for Image Segmentation and Face detection Recurrent Neural Network Intro (RNN) Long Short term Memory (LSTM) Motivation for learning RNN and LSTM Simple RNN and LSTM labs for Time Series Cloud based tools for doing object detection, image classification and applications of CNN RNN-LSTM Labs continued Natural Language Processing (NLP) Work2Vec, Word Embedding, PCA and T-SNE for Word Embedding NLP Labs Sequence to Sequence LSTM Chatbots and LSTM based Text Generation Review and
215 Fourier Ave #140, Fremont, CA 94539
Warm Springs, OR
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