[-0.3, -0.1, -0.01, -0.2, -0.1, -0.0050, -0.01, -0.3, -0.1, -0.01, -0.2, -0.1, -0.0050, -0.1, 0.05, -0.01, -0.3, -0.01, 0.3, 0.1, 0.01, 0.2, 0.1, 0.0050, 0.01, 0.3, 0.1, 0.01, 0.2, 0.1, 0.0050, 0.1, -0.05, 0.01, 0.3, 0.01]
After Random Train:
[-0.3117974785220471, -0.0969744208511008, -0.0015182143295051692, -0.18492005251721158, -0.10276533050022968, 0.01702503754637663, -0.0041009020798452415, -0.3003019437251549, -0.08754571824751127, 0.06089755115791183, -0.16609876246552832, -0.08410714480483074, -0.004635562792830725, -0.07664108552681664, 0.003322340232917519, 0.040234743613656324, -0.31768008233461026, 0.009860034985856534, 0.3, 0.17318193444934876, 0.03717940091396992, 0.15940523312600108, 0.09760847975876062, 0.14469567969950448, 0.014466617436708884, 0.3, 0.16850583717639786, 0.017430632727488637, 0.152165348170697, 0.09926027418801885, 0.028869432324683426, 0.3232849822968476, -0.047820047348753836, 0.1320216544365055, 0.28280489577853374, -0.019482555545616367]
After depth 3 training:
[-0.3283626742386927, -0.1505568122577602, 0.025067417714715764, -0.11980690649437006, -0.09606726971674641, -0.08113625736861638, 0.04751573299287504, -0.30036873848424567, -0.09503610412689503, 0.0686995574458758, -0.16759220998498678, -0.100857548777369, -0.02678102176572507, -0.13398029454640065, -0.02783908960462563, -0.0347291250938059, -0.3462612964403315, 0.018308077381188764, 0.2999553854657735, 0.22367154200124242, 0.037368579755127904, 0.09807363323147726, 0.08953281443190142, 0.08555952076457925, 0.010636911415503852, 0.29911428354292, 0.19679368140197134, -0.005314314035016346, 0.15721918146979164, 0.08530408317313919, 0.11462606688754255, 0.4802059794723134, -0.06795321905914024, 0.12206588408742687, 0.2771585495073668, -0.04499763911199248]
After depth 4 training:
[-0.3314759619822464, -0.1344816124743054, 0.045003497375500155, -0.09974545035114325, -0.0917505043662972, -0.06754029397705671, 0.07210565159068812, -0.2997641982508119, -0.07849839607757716, 0.06325063800216954, -0.14959303122670722, -0.10482776731383589, -0.029345309050548253, -0.05673159034909672, -0.019029509451949315, -0.07134622648361523, -0.3607325135818662, -0.022095206649599925, 0.2999054352274826, 0.2213781184857829, 0.01403089150417132, 0.10090466104117587, 0.07225028252726529, 0.07991926259483732, 0.010765175354820999, 0.2990774044084256, 0.2190500530367841, -0.025359711641312368, 0.14436252481621203, 0.06905862451002087, 0.11310515230849809, 0.541906150380617, -0.12282772023146325, 0.1149919719146858, 0.26969793025944927, -0.028727439711398104]
After depth 5 training:
[-0.3072617295081313, -0.10727720380986816, 0.07001851617532293, -0.09606737346077857, -0.09611209140762389, -0.06023901569476564, 0.05170504676439807, -0.30210432188434405, -0.09946058540612447, 0.07075372185505228, -0.083411663181004, -0.12674088839259226, -0.03741008025527185, -0.06225149055866795, -0.0066009633048133365, -0.07849674009391833, -0.3061358594140077, -0.0338925558626016, 0.2998254511857809, 0.2124993554346926, -0.02272194699655311, 0.09507305688492425, 0.058641111703550595, 0.07898837334284455, 0.011815288096550738, 0.29902535741897457, 0.2225143862056141, -0.03619761981124265, 0.13631553805261987, 0.06758584272790404, 0.10775859896003484, 0.5685712058304992, -0.08002841527661103, 0.11148496956646171, 0.260023538999689, -0.006624502304501702]
