v0.1.0

What's Changed

• Fix dtype upcast when loading checkpoints by @jessegrabowski in #54
• Add cosine annealing learning rate schedule by @jessegrabowski in #60
• Accept a float, shared variable, or schedule as learning_rate by @jessegrabowski in #61
• Add linear decay learning rate schedule by @jessegrabowski in #62
• Add exponential decay learning rate schedule by @jessegrabowski in #63
• Split the test job into parallel groups and cache compiled graphs by @jessegrabowski in #64
• Add polynomial decay learning rate schedule by @jessegrabowski in #65
• Add step decay learning rate schedule by @jessegrabowski in #66
• Let schedules run in either direction, and compose them by @jessegrabowski in #67
• Add a training clock and advance it once per step by @jessegrabowski in #68
• Allow unknown dimensions in Input by @jessegrabowski in #69
• Let parameters declare their own initializer by @jessegrabowski in #70
• Stop silently training parameters behind a stop-gradient by @jessegrabowski in #71
• Fix state-name collision between adam and adamw by @jessegrabowski in #73
• Name the parameters in the disconnected-input error by @jessegrabowski in #72
• Read schedules off the clock the rule counts on by @jessegrabowski in #74
• Fix RNG seeding and reject generators nothing advances by @jessegrabowski in #75
• Let compile_train take extra updates by @jessegrabowski in #76
• Fold the receptive field into the Xavier fans by @jessegrabowski in #77
• Let every layer take its initializers by @jessegrabowski in #78

Full Changelog: v0.0.7...v0.1.0