CSCD 485 — DEEP LEARNING and DEEP LEARNING LAB
Learning Objectives & Matches
Understand and implement the multi-layer fully connected neural networks using soft-max/cross-entropy loss for multi-class classification.
Develop or apply data mining and machine learning algorithms.
Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
Read and understand operating manuals, blueprints, and technical drawings.
Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
Learn to operate new technology systems and procedures through instruction, simulators, or models.
Enter codes and instructions to program computer-controlled machinery.
Take dictation using shorthand, a stenotype machine, or headsets and transcribing machines.
Develop or apply data mining and machine learning algorithms.
Instruct in use of voice, video, and data communications systems.
Know how to use a typical deep learning framework such as TensorFlow and PyTorch to develop deep learning models.
Learn to operate new technology systems and procedures through instruction, simulators, or models.
Develop training materials and procedures, or train users in the proper use of hardware or software.
Develop or apply data mining and machine learning algorithms.
Create Web models or prototypes that include physical, interface, logical, or data models.
Create Web models or prototypes that include physical, interface, logical, or data models.
Develop data models for applications, metadata tables, views or related database structures.
Create prototypes or models of objects to be crafted.
Assemble machines, and bolt, weld, rivet, or otherwise fasten them to foundation or other structures, using hand tools and power tools.
Participate in conferences, seminars, and training sessions to keep abreast of developments in the field, and integrate relevant information into training programs.
Assemble and fasten materials to make frameworks or props, using hand tools and wood screws, nails, dowel pins, or glue.
Understand and implement the convolutional neural network using a deep learning framework.
Learn to operate new office technologies as they are developed and implemented.
Integrate software or hardware components, using computer, microprocessor, or control architecture.
Determine desired images and picture composition, selecting and adjusting subjects, equipment, and lighting to achieve desired effects.
Develop or integrate control feature requirements.
Key commands and data into computer to document and specify scan sequences, adjust transmitters and receivers, or photograph certain images.
Perform systems analysis or programming of radio frequency identification device (RFID) technology.
Instruct in use of voice, video, and data communications systems.
Install and configure wireless networking equipment.
Interpret data, reports, maps, photographs, or charts to predict long- or short-range weather conditions, using computer models and knowledge of climate theory, physics, and mathematics.
Read and effectively interpret small-scale maps and information from a computer screen to determine locations and provide directions.
Understand and implement the recurrent neural network using a deep learning framework.
Interpret data, reports, maps, photographs, or charts to predict long- or short-range weather conditions, using computer models and knowledge of climate theory, physics, and mathematics.
Learn to operate new technology systems and procedures through instruction, simulators, or models.
Read plans, instructions, or specifications to determine work activities.
Listen to speakers' statements to determine meanings and to prepare translations, using electronic listening systems as necessary.
Memorize musical selections and routines, or sing following printed text, musical notation, or customer instructions.
Learn to operate new office technologies as they are developed and implemented.
Read and understand operating manuals, blueprints, and technical drawings.
Enter digitized data into electronic prepress system computer memory, using scanner, camera, keyboard, or mouse.
Specify inputs accessed by the system and plan the distribution and use of the results.
Perform various data entry or word processing tasks, such as updating phone directories, typing or proofreading documents, or creating schedules.
Understand and implement the LSTM recurrent neural network using a deep learning framework.
Take dictation using shorthand, a stenotype machine, or headsets and transcribing machines.
Set up, adjust, and operate audio-visual equipment, such as cameras, film and slide projectors, and recording equipment, for meetings, events, classes, seminars, and video conferences.
Read work orders and communicate with coworkers to determine machine and equipment settings and adjustments and supply and product specifications.
Code, classify, and catalog books, publications, films, audio-visual aids, and other library materials, based on subject matter or standard library classification systems.
Enter codes and instructions to program computer-controlled machinery.
Gather data pertaining to customer needs, and use the information to identify, predict, interpret, and evaluate system and network requirements.
Instruct in use of voice, video, and data communications systems.
Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
Memorize musical selections and routines, or sing following printed text, musical notation, or customer instructions.
Coordinate machine actions with other activities, positioning or moving loads in response to hand or audio signals from crew members.
Understand and implement the generative adversarial networks using a deep learning framework.
Develop or apply data mining and machine learning algorithms.
Analyze, interpret, or create graphical representations of energy data, using engineering software.
Determine desired images and picture composition, selecting and adjusting subjects, equipment, and lighting to achieve desired effects.
Create prototypes or models of objects to be crafted.
Set up, operate, and tend equipment that cooks, mixes, blends, or processes ingredients in the manufacturing of food products, according to formulas or recipes.
Manipulate and enhance scanned or digital images to create desired effects, using computers and specialized software.
Manipulate plot, score, sound, and graphics to make the parts into a continuous whole, working closely with people in audio, visual, music, optical, or special effects departments.
Learn to operate new technology systems and procedures through instruction, simulators, or models.
Interpret data, reports, maps, photographs, or charts to predict long- or short-range weather conditions, using computer models and knowledge of climate theory, physics, and mathematics.
Help clients improve decision making, abstract reasoning, memory, sequencing, coordination, and perceptual skills, using computer programs.
Understand and implement the attention-based transformer models using a deep learning framework.
Operate auxiliary equipment and control multiple processing units during distilling or treating operations, moving controls that regulate valves, pumps, compressors, and auxiliary equipment.
Develop training materials and procedures, or train users in the proper use of hardware or software.
Help clients improve decision making, abstract reasoning, memory, sequencing, coordination, and perceptual skills, using computer programs.
Call out train signals to assistants to verify meanings.
Operate auxiliary machines such as collators, pad and tablet making machines, staplers, and paper punching, folding, cutting, and perforating machines.
Enter codes and instructions to program computer-controlled machinery.
Document network support activities.
Provide training or technical assistance in Web site implementation or use.
Transfer equipment, objects, or parts to specified work areas, using moving devices.
Coordinate work with that of engineers, technicians, and other aircraft maintenance personnel.
Understand and implement of the (extended) computational graph used for reverse-mode automatic differentiation that is used in most modern deep learning frameworks.
Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
Compute, retrace, or adjust existing surveys of features such as highway alignments, property boundaries, utilities, control and other surveys to match the ground elevation-dependent grids, geodetic grids, or property boundaries and to ensure accuracy and continuity of data used in engineering, surveying, or construction projects.
Develop or implement data analysis algorithms.
Set up and operate machines, and adjust controls to regulate operations.
Document equipment or process details of radio frequency identification device (RFID) technology.
Configure wide area network (WAN) or local area network (LAN) routers or related equipment.
Enter, store, and retrieve information on computer-aided equipment.
Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
Train clients to use adaptive equipment, such as large print, reading stands, lamps, writing implements, software, and electronic devices.
Design, configure, and test computer hardware, networking software and operating system software.